{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/jaakko/Documents/PA_replication_package/log_De_Magalhaes_et_al.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}29 Aug 2024, 09:33:13
{txt}
{com}. 
. ********************************************************************************
. 
. clear all
{res}{txt}
{com}. 
. ********************************************************************************
. ********************************************************************************
. **** When Can We Trust Regression Discontinuity Design Estimates from Close ****
. *************** Elections? Evidence from Experimental Benchmarks ***************
. ********************************************************************************
. ********************************************************************************
. 
. * This is the master do file for replicating the tables and figures in
. * De Magalhaes et al. (Political Analysis).
. 
. ********************************************************************************
. 
. * Install required packages
. 
. ssc install rdrobust, replace
{txt}checking {hilite:rdrobust} consistency and verifying not already installed...
all files already exist and are up to date.

{com}. ssc install parmest, replace
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all files already exist and are up to date.

{com}. ssc install estout, replace
{txt}checking {hilite:estout} consistency and verifying not already installed...
all files already exist and are up to date.

{com}. ssc install rdmse, replace
{txt}checking {hilite:rdmse} consistency and verifying not already installed...
all files already exist and are up to date.

{com}. ssc install rddensity, replace
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all files already exist and are up to date.

{com}. ssc install addplot, replace
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all files already exist and are up to date.

{com}. ssc install coefplot, replace
{txt}checking {hilite:coefplot} consistency and verifying not already installed...
all files already exist and are up to date.

{com}. 
. net from http://www.stata.com
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Welcome to StataCorp.

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{smcl}

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{.-}

{com}. net install grc1leg
checking {hilite:grc1leg} consistency and verifying not already installed...
all files already exist and are up to date.
{txt}
{com}. 
. * You should also install DCdensity following instructions available here:
. * https://eml.berkeley.edu/~jmccrary/DCdensity/ (accessed August 22, 2024).
. 
. ********************************************************************************
. 
. * Globals used in the analyses
. 
. global dir "/Users/jaakko/Documents/PA_replication_package" // NB. REPLACE THIS WITH YOUR WORKING DIRECTORY!
{txt}
{com}. global tab "ci(%9.3f) b(%9.3f) scalars(h_l b_l N_h_l N_h_r) sfmt(%9.2f %9.2f %9.0g %9.0g) nogaps star(* 0.05 ** 0.01) mtitles brackets"
{txt}
{com}. 
. ********************************************************************************
. 
. * Run the do files producing the analyses in the main text
. 
. do "$dir/code/Figure_1.do" // Figure 1
{txt}
{com}. clear all
{res}{txt}
{com}. 
. ********************************************************************************
. ********************************************************************************
. **** When Can We Trust Regression Discontinuity Design Estimates from Close ****
. *************** Elections? Evidence from Experimental Benchmarks ***************
. ********************************************************************************
. ********************************************************************************
. 
. * This file produces Figure 1 in the main text of De Magalhaes et al. (Political
. * Analysis).
. 
. cd "$dir"
{res}/Users/jaakko/Documents/PA_replication_package
{txt}
{com}. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. la var elected "Lottery"
{txt}
{com}. 
. ********************************************************************************
. 
. * RDD PLOTS
. 
. * Dependent variable = Elected t + 1 
. * Colombia
. 
. cd "$dir/temp/" 
{res}/Users/jaakko/Documents/PA_replication_package/temp
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & country=="Colombia", all vce(cluster constituency) kernel(uniform) p(2)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -89.116{col 34}    0.009
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.009{col 34}   86.792
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    7.375{col 41}    7.375{txt}{col 50} {c |} {col 51}{res}   14.240{col 71}   14.240
{txt}{ralign 18:msetwo}{col 19} {c |} {col 22}{res}    6.630{col 41}    8.986{txt}{col 50} {c |} {col 51}{res}   13.876{col 71}   17.250
{txt}{ralign 18:msesum}{col 19} {c |} {col 22}{res}    7.353{col 41}    7.353{txt}{col 50} {c |} {col 51}{res}   16.623{col 71}   16.623
{txt}{ralign 18:msecomb1}{col 19} {c |} {col 22}{res}    7.353{col 41}    7.353{txt}{col 50} {c |} {col 51}{res}   14.240{col 71}   14.240
{txt}{ralign 18:msecomb2}{col 19} {c |} {col 22}{res}    7.353{col 41}    7.375{txt}{col 50} {c |} {col 51}{res}   14.240{col 71}   16.623
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    4.751{col 41}    4.751{txt}{col 50} {c |} {col 51}{res}   14.240{col 71}   14.240
{txt}{ralign 18:certwo}{col 19} {c |} {col 22}{res}    4.270{col 41}    5.788{txt}{col 50} {c |} {col 51}{res}   13.876{col 71}   17.250
{txt}{ralign 18:cersum}{col 19} {c |} {col 22}{res}    4.736{col 41}    4.736{txt}{col 50} {c |} {col 51}{res}   16.623{col 71}   16.623
{txt}{ralign 18:cercomb1}{col 19} {c |} {col 22}{res}    4.736{col 41}    4.736{txt}{col 50} {c |} {col 51}{res}   14.240{col 71}   14.240
{txt}{ralign 18:cercomb2}{col 19} {c |} {col 22}{res}    4.736{col 41}    4.751{txt}{col 50} {c |} {col 51}{res}   14.240{col 71}   16.623
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h_CER2=e(h_cerrd)
{txt}
{com}. rdplot electednextelection rv if abs(rv)<=`h_CER2' & rv!=0 & country=="Colombia", p(2) genvars binselect(es)
{res}{err}Mass points detected in the running variable.
{res}
RD Plot with evenly spaced number of bins using polynomial regression.

{txt}{ralign 21: Cutoff c = 0}{col 22} {c |} {col 23}Left of {res}c{col 36}{txt}Right of {res}c{col 54}{txt}Number of obs  = {res}     49302
{txt}{hline 22}{c +}{hline 22}{col 54}Kernel         = {res}{ralign 10:Uniform}
{txt}{ralign 21:Number of obs}{col 22} {c |} {col 23}{res}    30045{col 37}    19257
{txt}{ralign 21:Eff. Number of obs}{col 22} {c |} {col 23}{res}    30045{col 37}    19257
{txt}{ralign 21:Order poly. fit (p)}{col 22} {c |} {col 23}{res}        2{col 37}        2
{txt}{ralign 21:BW poly. fit (h)}{col 22} {c |} {col 23}{res}    4.750{col 37}    4.750
{txt}{ralign 21:Number of bins scale}{col 22} {c |} {col 23}{res}    1.000{col 37}    1.000

Outcome: electednextelection. Running variable: rv.
{txt}{hline 22}{c TT}{hline 22}
{col 22} {c |} {col 23}Left of {res}c{col 36}{txt}Right of {res}c
{txt}{hline 22}{c +}{hline 22}
{ralign 21:Bins selected}{col 22} {c |} {col 23}{res}       12{col 37}        6
{txt}{ralign 21:Average bin length}{col 22} {c |} {col 23}{res}    0.396{col 37}    0.792
{txt}{ralign 21:Median bin length}{col 22} {c |} {col 23}{res}    0.396{col 37}    0.792
{txt}{hline 22}{c +}{hline 22}
{ralign 21:IMSE-optimal bins}{col 22} {c |} {col 23}{res}       12{col 37}        6
{txt}{ralign 21:Mimicking Var. bins}{col 22} {c |} {col 23}{res}      419{col 37}      420
{txt}{hline 22}{c +}{hline 22}
{lalign 1:Rel. to IMSE-optimal:}{col 22} {c |} 
{ralign 21:Implied scale}{col 22} {c |} {col 23}{res}    1.000{col 37}    1.000
{txt}{ralign 21:WIMSE var. weight}{col 22} {c |} {col 23}{res}    0.500{col 37}    0.500
{txt}{ralign 21:WIMSE bias weight}{col 22} {c |} {col 23}{res}    0.500{col 37}    0.500
{txt}{hline 22}{c BT}{hline 22}

{res}{txt}
{com}. bysort rdplot_mean_y rdplot_mean_x: gen n = _n
{txt}
{com}. replace rdplot_mean_y = . if n != 1
{txt}(49,530 real changes made, 49,530 to missing)

{com}. replace rdplot_mean_x = . if n != 1
{txt}(49,530 real changes made, 49,530 to missing)

{com}. rdbwselect electednextelection rv if rv!=0 & country=="Colombia", all vce(cluster constituency) kernel(uniform)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -89.116{col 34}    0.009
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.009{col 34}   86.792
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    3.245{col 41}    3.245{txt}{col 50} {c |} {col 51}{res}   14.683{col 71}   14.683
{txt}{ralign 18:msetwo}{col 19} {c |} {col 22}{res}    2.536{col 41}    4.441{txt}{col 50} {c |} {col 51}{res}    7.922{col 71}    9.558
{txt}{ralign 18:msesum}{col 19} {c |} {col 22}{res}    3.339{col 41}    3.339{txt}{col 50} {c |} {col 51}{res}    9.593{col 71}    9.593
{txt}{ralign 18:msecomb1}{col 19} {c |} {col 22}{res}    3.245{col 41}    3.245{txt}{col 50} {c |} {col 51}{res}    9.593{col 71}    9.593
{txt}{ralign 18:msecomb2}{col 19} {c |} {col 22}{res}    3.245{col 41}    3.339{txt}{col 50} {c |} {col 51}{res}    9.593{col 71}    9.593
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    2.208{col 41}    2.208{txt}{col 50} {c |} {col 51}{res}   14.683{col 71}   14.683
{txt}{ralign 18:certwo}{col 19} {c |} {col 22}{res}    1.726{col 41}    3.023{txt}{col 50} {c |} {col 51}{res}    7.922{col 71}    9.558
{txt}{ralign 18:cersum}{col 19} {c |} {col 22}{res}    2.272{col 41}    2.272{txt}{col 50} {c |} {col 51}{res}    9.593{col 71}    9.593
{txt}{ralign 18:cercomb1}{col 19} {c |} {col 22}{res}    2.208{col 41}    2.208{txt}{col 50} {c |} {col 51}{res}    9.593{col 71}    9.593
{txt}{ralign 18:cercomb2}{col 19} {c |} {col 22}{res}    2.208{col 41}    2.272{txt}{col 50} {c |} {col 51}{res}    9.593{col 71}    9.593
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h_MSE1=e(h_mserd)
{txt}
{com}. local h_CER1=e(h_cerrd)
{txt}
{com}. twoway (scatter rdplot_mean_y rdplot_mean_x if abs(rv)<=`h_CER2' & rv!=0 & country=="Colombia", plotregion(lcolor(black)) ylabel(, format(%3.2f) angle(0)) xlabel(#5, format(%3.2f)) msize(small) mcolor(gs6) xline(0, lcolor(gs12)) xtitle("Vote margin") ytitle("Elected t+1") legend(off) graphregion(color(white))) ///
>         (lfit electednextelection rv if rv<0 & abs(rv)<=`h_CER1' & country=="Colombia", lcolor(red) lwidth(medthick) lpattern(--)) ///
>         (lfit electednextelection rv if rv<0 & abs(rv)<=`h_MSE1' & country=="Colombia", lcolor(red) lwidth(medthick)) ///
>         (qfit electednextelection rv if rv<0 & abs(rv)<=`h_CER2' & country=="Colombia", lcolor(blue) lwidth(thin) lpattern(--)) ///
>         (lfit electednextelection rv if rv>0 & abs(rv)<=`h_CER1' & country=="Colombia", lcolor(red) lwidth(medthick) lpattern(--)) ///
>         (lfit electednextelection rv if rv>0 & abs(rv)<=`h_MSE1' & country=="Colombia", lcolor(red) lwidth(medthick)) ///
>         (qfit electednextelection rv if rv>0 & abs(rv)<=`h_CER2' & country=="Colombia", lcolor(blue) lwidth(thin) lpattern(--))
{res}{txt}
{com}. graph save "colombia_elected_rdplot.gph", replace
{txt}{p 0 4 2}
(file {bf}
colombia_elected_rdplot.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:colombia_elected_rdplot.gph} saved

{com}. drop rdplot* n
{txt}
{com}. 
. * Finland
. 
. rdbwselect electednextelection rv if rv!=0 & country=="Finland", all vce(cluster constituency) kernel(uniform) p(2)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    3.432{col 41}    3.432{txt}{col 50} {c |} {col 51}{res}   13.239{col 71}   13.239
{txt}{ralign 18:msetwo}{col 19} {c |} {col 22}{res}    2.552{col 41}    3.324{txt}{col 50} {c |} {col 51}{res}    8.623{col 71}    9.116
{txt}{ralign 18:msesum}{col 19} {c |} {col 22}{res}    4.795{col 41}    4.795{txt}{col 50} {c |} {col 51}{res}   10.373{col 71}   10.373
{txt}{ralign 18:msecomb1}{col 19} {c |} {col 22}{res}    3.432{col 41}    3.432{txt}{col 50} {c |} {col 51}{res}   10.373{col 71}   10.373
{txt}{ralign 18:msecomb2}{col 19} {c |} {col 22}{res}    3.432{col 41}    3.432{txt}{col 50} {c |} {col 51}{res}   10.373{col 71}   10.373
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    2.328{col 41}    2.328{txt}{col 50} {c |} {col 51}{res}   13.239{col 71}   13.239
{txt}{ralign 18:certwo}{col 19} {c |} {col 22}{res}    1.731{col 41}    2.255{txt}{col 50} {c |} {col 51}{res}    8.623{col 71}    9.116
{txt}{ralign 18:cersum}{col 19} {c |} {col 22}{res}    3.253{col 41}    3.253{txt}{col 50} {c |} {col 51}{res}   10.373{col 71}   10.373
{txt}{ralign 18:cercomb1}{col 19} {c |} {col 22}{res}    2.328{col 41}    2.328{txt}{col 50} {c |} {col 51}{res}   10.373{col 71}   10.373
{txt}{ralign 18:cercomb2}{col 19} {c |} {col 22}{res}    2.328{col 41}    2.328{txt}{col 50} {c |} {col 51}{res}   10.373{col 71}   10.373
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h_CER2=e(h_cerrd)
{txt}
{com}. rdplot electednextelection rv if abs(rv)<=`h_CER2' & rv!=0 & country=="Finland", p(2) genvars binselect(es)
{res}{err}Mass points detected in the running variable.
{res}
RD Plot with evenly spaced number of bins using polynomial regression.

{txt}{ralign 21: Cutoff c = 0}{col 22} {c |} {col 23}Left of {res}c{col 36}{txt}Right of {res}c{col 54}{txt}Number of obs  = {res}     78807
{txt}{hline 22}{c +}{hline 22}{col 54}Kernel         = {res}{ralign 10:Uniform}
{txt}{ralign 21:Number of obs}{col 22} {c |} {col 23}{res}    55717{col 37}    23090
{txt}{ralign 21:Eff. Number of obs}{col 22} {c |} {col 23}{res}    55715{col 37}    23090
{txt}{ralign 21:Order poly. fit (p)}{col 22} {c |} {col 23}{res}        2{col 37}        2
{txt}{ralign 21:BW poly. fit (h)}{col 22} {c |} {col 23}{res}    2.328{col 37}    2.328
{txt}{ralign 21:Number of bins scale}{col 22} {c |} {col 23}{res}    1.000{col 37}    1.000

Outcome: electednextelection. Running variable: rv.
{txt}{hline 22}{c TT}{hline 22}
{col 22} {c |} {col 23}Left of {res}c{col 36}{txt}Right of {res}c
{txt}{hline 22}{c +}{hline 22}
{ralign 21:Bins selected}{col 22} {c |} {col 23}{res}       26{col 37}       12
{txt}{ralign 21:Average bin length}{col 22} {c |} {col 23}{res}    0.090{col 37}    0.194
{txt}{ralign 21:Median bin length}{col 22} {c |} {col 23}{res}    0.090{col 37}    0.194
{txt}{hline 22}{c +}{hline 22}
{ralign 21:IMSE-optimal bins}{col 22} {c |} {col 23}{res}       26{col 37}       12
{txt}{ralign 21:Mimicking Var. bins}{col 22} {c |} {col 23}{res}      569{col 37}      629
{txt}{hline 22}{c +}{hline 22}
{lalign 1:Rel. to IMSE-optimal:}{col 22} {c |} 
{ralign 21:Implied scale}{col 22} {c |} {col 23}{res}    1.000{col 37}    1.000
{txt}{ralign 21:WIMSE var. weight}{col 22} {c |} {col 23}{res}    0.500{col 37}    0.500
{txt}{ralign 21:WIMSE bias weight}{col 22} {c |} {col 23}{res}    0.500{col 37}    0.500
{txt}{hline 22}{c BT}{hline 22}

{res}{txt}
{com}. bysort rdplot_mean_y rdplot_mean_x: gen n = _n
{txt}
{com}. replace rdplot_mean_y = . if n != 1
{txt}(78,919 real changes made, 78,919 to missing)

{com}. replace rdplot_mean_x = . if n != 1
{txt}(78,919 real changes made, 78,919 to missing)

{com}. rdbwselect electednextelection rv if rv!=0 & country=="Finland", all vce(cluster constituency) kernel(uniform)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    0.960{col 41}    0.960{txt}{col 50} {c |} {col 51}{res}    5.541{col 71}    5.541
{txt}{ralign 18:msetwo}{col 19} {c |} {col 22}{res}    0.960{col 41}    1.161{txt}{col 50} {c |} {col 51}{res}    5.059{col 71}    5.085
{txt}{ralign 18:msesum}{col 19} {c |} {col 22}{res}    3.447{col 41}    3.447{txt}{col 50} {c |} {col 51}{res}    8.479{col 71}    8.479
{txt}{ralign 18:msecomb1}{col 19} {c |} {col 22}{res}    0.960{col 41}    0.960{txt}{col 50} {c |} {col 51}{res}    5.541{col 71}    5.541
{txt}{ralign 18:msecomb2}{col 19} {c |} {col 22}{res}    0.960{col 41}    1.161{txt}{col 50} {c |} {col 51}{res}    5.541{col 71}    5.541
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    0.684{col 41}    0.684{txt}{col 50} {c |} {col 51}{res}    5.541{col 71}    5.541
{txt}{ralign 18:certwo}{col 19} {c |} {col 22}{res}    0.684{col 41}    0.827{txt}{col 50} {c |} {col 51}{res}    5.059{col 71}    5.085
{txt}{ralign 18:cersum}{col 19} {c |} {col 22}{res}    2.455{col 41}    2.455{txt}{col 50} {c |} {col 51}{res}    8.479{col 71}    8.479
{txt}{ralign 18:cercomb1}{col 19} {c |} {col 22}{res}    0.684{col 41}    0.684{txt}{col 50} {c |} {col 51}{res}    5.541{col 71}    5.541
{txt}{ralign 18:cercomb2}{col 19} {c |} {col 22}{res}    0.684{col 41}    0.827{txt}{col 50} {c |} {col 51}{res}    5.541{col 71}    5.541
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h_MSE1=e(h_mserd)
{txt}
{com}. local h_CER1=e(h_cerrd)
{txt}
{com}. twoway (scatter rdplot_mean_y rdplot_mean_x if abs(rv)<=`h_CER2' & rv!=0 & country=="Finland", plotregion(lcolor(black)) ylabel(, format(%3.2f) angle(0)) xlabel(#5, format(%3.2f)) msize(small) mcolor(gs6) xline(0, lcolor(gs12)) xtitle("Vote margin") ytitle("Elected t+1") legend(off) graphregion(color(white))) ///
>         (lfit electednextelection rv if rv<0 & abs(rv)<=`h_CER1' & country=="Finland", lcolor(red) lwidth(medthick) lpattern(--)) ///
>         (lfit electednextelection rv if rv<0 & abs(rv)<=`h_MSE1' & country=="Finland", lcolor(red) lwidth(medthick)) ///
>         (qfit electednextelection rv if rv<0 & abs(rv)<=`h_CER2' & country=="Finland", lcolor(blue) lwidth(thin) lpattern(--)) ///
>         (lfit electednextelection rv if rv>0 & abs(rv)<=`h_CER1' & country=="Finland", lcolor(red) lwidth(medthick) lpattern(--)) ///
>         (lfit electednextelection rv if rv>0 & abs(rv)<=`h_MSE1' & country=="Finland", lcolor(red) lwidth(medthick)) ///
>         (qfit electednextelection rv if rv>0 & abs(rv)<=`h_CER2' & country=="Finland", lcolor(blue) lwidth(thin) lpattern(--))
{res}{txt}
{com}. graph save "finland_elected_rdplot.gph", replace
{txt}{p 0 4 2}
(file {bf}
finland_elected_rdplot.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:finland_elected_rdplot.gph} saved

{com}. drop rdplot* n
{txt}
{com}. 
. * Dependent variable = Running t + 1
. * Colombia
. 
. rdbwselect runningnextelection rv if rv!=0 & country=="Colombia", all vce(cluster constituency) kernel(uniform) p(2)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -89.116{col 34}    0.009
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.009{col 34}   86.792
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    9.753{col 41}    9.753{txt}{col 50} {c |} {col 51}{res}   17.713{col 71}   17.713
{txt}{ralign 18:msetwo}{col 19} {c |} {col 22}{res}    9.750{col 41}   10.408{txt}{col 50} {c |} {col 51}{res}   17.815{col 71}   20.059
{txt}{ralign 18:msesum}{col 19} {c |} {col 22}{res}    9.227{col 41}    9.227{txt}{col 50} {c |} {col 51}{res}   18.509{col 71}   18.509
{txt}{ralign 18:msecomb1}{col 19} {c |} {col 22}{res}    9.227{col 41}    9.227{txt}{col 50} {c |} {col 51}{res}   17.713{col 71}   17.713
{txt}{ralign 18:msecomb2}{col 19} {c |} {col 22}{res}    9.750{col 41}    9.753{txt}{col 50} {c |} {col 51}{res}   17.815{col 71}   18.509
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    6.283{col 41}    6.283{txt}{col 50} {c |} {col 51}{res}   17.713{col 71}   17.713
{txt}{ralign 18:certwo}{col 19} {c |} {col 22}{res}    6.280{col 41}    6.704{txt}{col 50} {c |} {col 51}{res}   17.815{col 71}   20.059
{txt}{ralign 18:cersum}{col 19} {c |} {col 22}{res}    5.943{col 41}    5.943{txt}{col 50} {c |} {col 51}{res}   18.509{col 71}   18.509
{txt}{ralign 18:cercomb1}{col 19} {c |} {col 22}{res}    5.943{col 41}    5.943{txt}{col 50} {c |} {col 51}{res}   17.713{col 71}   17.713
{txt}{ralign 18:cercomb2}{col 19} {c |} {col 22}{res}    6.280{col 41}    6.283{txt}{col 50} {c |} {col 51}{res}   17.815{col 71}   18.509
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h_CER2=e(h_cerrd)
{txt}
{com}. rdplot runningnextelection rv if abs(rv)<=`h_CER2' & rv!=0 & country=="Colombia", p(2) genvars binselect(es)
{res}{err}Mass points detected in the running variable.
{res}
RD Plot with evenly spaced number of bins using polynomial regression.

{txt}{ralign 21: Cutoff c = 0}{col 22} {c |} {col 23}Left of {res}c{col 36}{txt}Right of {res}c{col 54}{txt}Number of obs  = {res}     63086
{txt}{hline 22}{c +}{hline 22}{col 54}Kernel         = {res}{ralign 10:Uniform}
{txt}{ralign 21:Number of obs}{col 22} {c |} {col 23}{res}    40232{col 37}    22854
{txt}{ralign 21:Eff. Number of obs}{col 22} {c |} {col 23}{res}    40232{col 37}    22854
{txt}{ralign 21:Order poly. fit (p)}{col 22} {c |} {col 23}{res}        2{col 37}        2
{txt}{ralign 21:BW poly. fit (h)}{col 22} {c |} {col 23}{res}    6.282{col 37}    6.282
{txt}{ralign 21:Number of bins scale}{col 22} {c |} {col 23}{res}    1.000{col 37}    1.000

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 22}{c TT}{hline 22}
{col 22} {c |} {col 23}Left of {res}c{col 36}{txt}Right of {res}c
{txt}{hline 22}{c +}{hline 22}
{ralign 21:Bins selected}{col 22} {c |} {col 23}{res}       11{col 37}        5
{txt}{ralign 21:Average bin length}{col 22} {c |} {col 23}{res}    0.571{col 37}    1.256
{txt}{ralign 21:Median bin length}{col 22} {c |} {col 23}{res}    0.571{col 37}    1.256
{txt}{hline 22}{c +}{hline 22}
{ralign 21:IMSE-optimal bins}{col 22} {c |} {col 23}{res}       11{col 37}        5
{txt}{ralign 21:Mimicking Var. bins}{col 22} {c |} {col 23}{res}      522{col 37}      516
{txt}{hline 22}{c +}{hline 22}
{lalign 1:Rel. to IMSE-optimal:}{col 22} {c |} 
{ralign 21:Implied scale}{col 22} {c |} {col 23}{res}    1.000{col 37}    1.000
{txt}{ralign 21:WIMSE var. weight}{col 22} {c |} {col 23}{res}    0.500{col 37}    0.500
{txt}{ralign 21:WIMSE bias weight}{col 22} {c |} {col 23}{res}    0.500{col 37}    0.500
{txt}{hline 22}{c BT}{hline 22}

{res}{txt}
{com}. bysort rdplot_mean_y rdplot_mean_x: gen n = _n
{txt}
{com}. replace rdplot_mean_y = . if n != 1
{txt}(63,368 real changes made, 63,368 to missing)

{com}. replace rdplot_mean_x = . if n != 1
{txt}(63,368 real changes made, 63,368 to missing)

{com}. rdbwselect runningnextelection rv if rv!=0 & country=="Colombia", all vce(cluster constituency) kernel(uniform)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -89.116{col 34}    0.009
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.009{col 34}   86.792
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    4.379{col 41}    4.379{txt}{col 50} {c |} {col 51}{res}   10.866{col 71}   10.866
{txt}{ralign 18:msetwo}{col 19} {c |} {col 22}{res}    3.453{col 41}    6.946{txt}{col 50} {c |} {col 51}{res}    9.162{col 71}   15.600
{txt}{ralign 18:msesum}{col 19} {c |} {col 22}{res}    3.551{col 41}    3.551{txt}{col 50} {c |} {col 51}{res}   10.157{col 71}   10.157
{txt}{ralign 18:msecomb1}{col 19} {c |} {col 22}{res}    3.551{col 41}    3.551{txt}{col 50} {c |} {col 51}{res}   10.157{col 71}   10.157
{txt}{ralign 18:msecomb2}{col 19} {c |} {col 22}{res}    3.551{col 41}    4.379{txt}{col 50} {c |} {col 51}{res}   10.157{col 71}   10.866
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    2.980{col 41}    2.980{txt}{col 50} {c |} {col 51}{res}   10.866{col 71}   10.866
{txt}{ralign 18:certwo}{col 19} {c |} {col 22}{res}    2.350{col 41}    4.727{txt}{col 50} {c |} {col 51}{res}    9.162{col 71}   15.600
{txt}{ralign 18:cersum}{col 19} {c |} {col 22}{res}    2.417{col 41}    2.417{txt}{col 50} {c |} {col 51}{res}   10.157{col 71}   10.157
{txt}{ralign 18:cercomb1}{col 19} {c |} {col 22}{res}    2.417{col 41}    2.417{txt}{col 50} {c |} {col 51}{res}   10.157{col 71}   10.157
{txt}{ralign 18:cercomb2}{col 19} {c |} {col 22}{res}    2.417{col 41}    2.980{txt}{col 50} {c |} {col 51}{res}   10.157{col 71}   10.866
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h_MSE1=e(h_mserd)
{txt}
{com}. local h_CER1=e(h_cerrd)
{txt}
{com}. twoway (scatter rdplot_mean_y rdplot_mean_x if abs(rv)<=`h_CER2' & rv!=0 & country=="Colombia", plotregion(lcolor(black)) ylabel(, format(%3.2f) angle(0)) xlabel(#5, format(%3.2f)) msize(small) mcolor(gs6) xline(0, lcolor(gs12)) xtitle("Vote margin") ytitle("Elected t+1") legend(off) graphregion(color(white))) ///
>         (lfit runningnextelection rv if rv<0 & abs(rv)<=`h_CER1' & country=="Colombia", lcolor(red) lwidth(medthick) lpattern(--)) ///
>         (lfit runningnextelection rv if rv<0 & abs(rv)<=`h_MSE1' & country=="Colombia", lcolor(red) lwidth(medthick)) ///
>         (qfit runningnextelection rv if rv<0 & abs(rv)<=`h_CER2' & country=="Colombia", lcolor(blue) lwidth(thin) lpattern(--)) ///
>         (lfit runningnextelection rv if rv>0 & abs(rv)<=`h_CER1' & country=="Colombia", lcolor(red) lwidth(medthick) lpattern(--)) ///
>         (lfit runningnextelection rv if rv>0 & abs(rv)<=`h_MSE1' & country=="Colombia", lcolor(red) lwidth(medthick)) ///
>         (qfit runningnextelection rv if rv>0 & abs(rv)<=`h_CER2' & country=="Colombia", lcolor(blue) lwidth(thin) lpattern(--))
{res}{txt}
{com}. graph save "colombia_rerun_rdplot.gph", replace
{txt}{p 0 4 2}
(file {bf}
colombia_rerun_rdplot.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:colombia_rerun_rdplot.gph} saved

{com}. drop rdplot* n
{txt}
{com}. 
. * Finland
. 
. rdbwselect runningnextelection rv if rv!=0 & country=="Finland", all vce(cluster constituency) kernel(uniform) p(2)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    3.499{col 41}    3.499{txt}{col 50} {c |} {col 51}{res}   10.840{col 71}   10.840
{txt}{ralign 18:msetwo}{col 19} {c |} {col 22}{res}    2.958{col 41}    8.224{txt}{col 50} {c |} {col 51}{res}    9.654{col 71}   17.187
{txt}{ralign 18:msesum}{col 19} {c |} {col 22}{res}    4.035{col 41}    4.035{txt}{col 50} {c |} {col 51}{res}   11.259{col 71}   11.259
{txt}{ralign 18:msecomb1}{col 19} {c |} {col 22}{res}    3.499{col 41}    3.499{txt}{col 50} {c |} {col 51}{res}   10.840{col 71}   10.840
{txt}{ralign 18:msecomb2}{col 19} {c |} {col 22}{res}    3.499{col 41}    4.035{txt}{col 50} {c |} {col 51}{res}   10.840{col 71}   11.259
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    2.374{col 41}    2.374{txt}{col 50} {c |} {col 51}{res}   10.840{col 71}   10.840
{txt}{ralign 18:certwo}{col 19} {c |} {col 22}{res}    2.007{col 41}    5.579{txt}{col 50} {c |} {col 51}{res}    9.654{col 71}   17.187
{txt}{ralign 18:cersum}{col 19} {c |} {col 22}{res}    2.737{col 41}    2.737{txt}{col 50} {c |} {col 51}{res}   11.259{col 71}   11.259
{txt}{ralign 18:cercomb1}{col 19} {c |} {col 22}{res}    2.374{col 41}    2.374{txt}{col 50} {c |} {col 51}{res}   10.840{col 71}   10.840
{txt}{ralign 18:cercomb2}{col 19} {c |} {col 22}{res}    2.374{col 41}    2.737{txt}{col 50} {c |} {col 51}{res}   10.840{col 71}   11.259
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h_CER2=e(h_cerrd)
{txt}
{com}. rdplot runningnextelection rv if abs(rv)<=`h_CER2' & rv!=0 & country=="Finland", p(2) genvars binselect(es)
{res}{err}Mass points detected in the running variable.
{res}
RD Plot with evenly spaced number of bins using polynomial regression.

{txt}{ralign 21: Cutoff c = 0}{col 22} {c |} {col 23}Left of {res}c{col 36}{txt}Right of {res}c{col 54}{txt}Number of obs  = {res}     79847
{txt}{hline 22}{c +}{hline 22}{col 54}Kernel         = {res}{ralign 10:Uniform}
{txt}{ralign 21:Number of obs}{col 22} {c |} {col 23}{res}    56506{col 37}    23341
{txt}{ralign 21:Eff. Number of obs}{col 22} {c |} {col 23}{res}    56505{col 37}    23340
{txt}{ralign 21:Order poly. fit (p)}{col 22} {c |} {col 23}{res}        2{col 37}        2
{txt}{ralign 21:BW poly. fit (h)}{col 22} {c |} {col 23}{res}    2.374{col 37}    2.374
{txt}{ralign 21:Number of bins scale}{col 22} {c |} {col 23}{res}    1.000{col 37}    1.000

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 22}{c TT}{hline 22}
{col 22} {c |} {col 23}Left of {res}c{col 36}{txt}Right of {res}c
{txt}{hline 22}{c +}{hline 22}
{ralign 21:Bins selected}{col 22} {c |} {col 23}{res}       14{col 37}        8
{txt}{ralign 21:Average bin length}{col 22} {c |} {col 23}{res}    0.170{col 37}    0.297
{txt}{ralign 21:Median bin length}{col 22} {c |} {col 23}{res}    0.170{col 37}    0.297
{txt}{hline 22}{c +}{hline 22}
{ralign 21:IMSE-optimal bins}{col 22} {c |} {col 23}{res}       14{col 37}        8
{txt}{ralign 21:Mimicking Var. bins}{col 22} {c |} {col 23}{res}      637{col 37}      631
{txt}{hline 22}{c +}{hline 22}
{lalign 1:Rel. to IMSE-optimal:}{col 22} {c |} 
{ralign 21:Implied scale}{col 22} {c |} {col 23}{res}    1.000{col 37}    1.000
{txt}{ralign 21:WIMSE var. weight}{col 22} {c |} {col 23}{res}    0.500{col 37}    0.500
{txt}{ralign 21:WIMSE bias weight}{col 22} {c |} {col 23}{res}    0.500{col 37}    0.500
{txt}{hline 22}{c BT}{hline 22}

{res}{txt}
{com}. bysort rdplot_mean_y rdplot_mean_x: gen n = _n
{txt}
{com}. replace rdplot_mean_y = . if n != 1
{txt}(79,979 real changes made, 79,979 to missing)

{com}. replace rdplot_mean_x = . if n != 1
{txt}(79,979 real changes made, 79,979 to missing)

{com}. rdbwselect runningnextelection rv if rv!=0 & country=="Finland", all vce(cluster constituency) kernel(uniform)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    1.481{col 41}    1.481{txt}{col 50} {c |} {col 51}{res}    7.140{col 71}    7.140
{txt}{ralign 18:msetwo}{col 19} {c |} {col 22}{res}    1.225{col 41}    4.156{txt}{col 50} {c |} {col 51}{res}    5.943{col 71}   11.567
{txt}{ralign 18:msesum}{col 19} {c |} {col 22}{res}    1.652{col 41}    1.652{txt}{col 50} {c |} {col 51}{res}    7.099{col 71}    7.099
{txt}{ralign 18:msecomb1}{col 19} {c |} {col 22}{res}    1.481{col 41}    1.481{txt}{col 50} {c |} {col 51}{res}    7.099{col 71}    7.099
{txt}{ralign 18:msecomb2}{col 19} {c |} {col 22}{res}    1.481{col 41}    1.652{txt}{col 50} {c |} {col 51}{res}    7.099{col 71}    7.140
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    1.055{col 41}    1.055{txt}{col 50} {c |} {col 51}{res}    7.140{col 71}    7.140
{txt}{ralign 18:certwo}{col 19} {c |} {col 22}{res}    0.872{col 41}    2.959{txt}{col 50} {c |} {col 51}{res}    5.943{col 71}   11.567
{txt}{ralign 18:cersum}{col 19} {c |} {col 22}{res}    1.176{col 41}    1.176{txt}{col 50} {c |} {col 51}{res}    7.099{col 71}    7.099
{txt}{ralign 18:cercomb1}{col 19} {c |} {col 22}{res}    1.055{col 41}    1.055{txt}{col 50} {c |} {col 51}{res}    7.099{col 71}    7.099
{txt}{ralign 18:cercomb2}{col 19} {c |} {col 22}{res}    1.055{col 41}    1.176{txt}{col 50} {c |} {col 51}{res}    7.099{col 71}    7.140
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h_MSE1=e(h_mserd)
{txt}
{com}. local h_CER1=e(h_cerrd)
{txt}
{com}. twoway (scatter rdplot_mean_y rdplot_mean_x if abs(rv)<=`h_CER2' & rv!=0 & country=="Finland", plotregion(lcolor(black)) ylabel(, format(%3.2f) angle(0)) xlabel(#5, format(%3.2f)) msize(small) mcolor(gs6) xline(0, lcolor(gs12)) xtitle("Vote margin") ytitle("Elected t+1") legend(off) graphregion(color(white))) ///
>         (lfit runningnextelection rv if rv<0 & abs(rv)<=`h_CER1' & country=="Finland", lcolor(red) lwidth(medthick) lpattern(--)) ///
>         (lfit runningnextelection rv if rv<0 & abs(rv)<=`h_MSE1' & country=="Finland", lcolor(red) lwidth(medthick)) ///
>         (qfit runningnextelection rv if rv<0 & abs(rv)<=`h_CER2' & country=="Finland", lcolor(blue) lwidth(thin) lpattern(--)) ///
>         (lfit runningnextelection rv if rv>0 & abs(rv)<=`h_CER1' & country=="Finland", lcolor(red) lwidth(medthick) lpattern(--)) ///
>         (lfit runningnextelection rv if rv>0 & abs(rv)<=`h_MSE1' & country=="Finland", lcolor(red) lwidth(medthick)) ///
>         (qfit runningnextelection rv if rv>0 & abs(rv)<=`h_CER2' & country=="Finland", lcolor(blue) lwidth(thin) lpattern(--))
{res}{txt}
{com}. graph save "finland_rerun_rdplot.gph", replace
{txt}{p 0 4 2}
(file {bf}
finland_rerun_rdplot.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:finland_rerun_rdplot.gph} saved

{com}. drop rdplot* n
{txt}
{com}. 
. ********************************************************************************
. 
. * ROBUSTNESS TO ALTERNATIVE BANDWIDTHS
. * Dependent variable = Elected t + 1
. * Colombia
. 
. cd "$dir/data"
{res}/Users/jaakko/Documents/PA_replication_package/data
{txt}
{com}. use "personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. reg electednextelection elected if rv==0 & country=="Colombia", cluster(constituency)

{txt}Linear regression                               Number of obs     = {res}       463
                                                {txt}F(1, 204)         =  {res}     0.80
                                                {txt}Prob > F          = {res}    0.3713
                                                {txt}R-squared         = {res}    0.0015
                                                {txt}Root MSE          =    {res} .39291

{txt}{ralign 78:(Std. err. adjusted for {res:205} clusters in {res:constituency})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}electednex~n{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}elected {c |}{col 14}{res}{space 2}-.0304557{col 26}{space 2} .0339923{col 37}{space 1}   -0.90{col 46}{space 3}0.371{col 54}{space 4} -.097477{col 67}{space 3} .0365655
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2051282{col 26}{space 2} .0262297{col 37}{space 1}    7.82{col 46}{space 3}0.000{col 54}{space 4} .1534122{col 67}{space 3} .2568442
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. parmest, saving("$dir/temp/colombia_lottery.dta", replace)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/colombia_lottery.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/colombia_lottery.dta{rm}
saved
{p_end}

{com}. use "$dir/temp/colombia_lottery.dta", clear
{txt}
{com}. gen bandwidth=0
{txt}
{com}. keep if parm=="elected"
{txt}(1 observation deleted)

{com}. save "$dir/temp/colombia_lottery.dta", replace
{txt}{p 0 4 2}
file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/colombia_lottery.dta{rm}
saved
{p_end}

{com}. 
. quietly {c -(}
{txt}
{com}. 
. * Finland       
.         
. cd "$dir/data"
{res}/Users/jaakko/Documents/PA_replication_package/data
{txt}
{com}. use "personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. reg electednextelection elected if rv==0 & country=="Finland", cluster(constituency)

{txt}Linear regression                               Number of obs     = {res}     1,351
                                                {txt}F(1, 326)         =  {res}     0.03
                                                {txt}Prob > F          = {res}    0.8599
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} .46952

{txt}{ralign 78:(Std. err. adjusted for {res:327} clusters in {res:constituency})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}electednex~n{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}elected {c |}{col 14}{res}{space 2} .0043592{col 26}{space 2} .0246709{col 37}{space 1}    0.18{col 46}{space 3}0.860{col 54}{space 4}-.0441752{col 67}{space 3} .0528935
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}     .325{col 26}{space 2}  .017658{col 37}{space 1}   18.41{col 46}{space 3}0.000{col 54}{space 4}  .290262{col 67}{space 3}  .359738
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. parmest, saving("$dir/temp/finland_lottery.dta", replace)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/finland_lottery.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/finland_lottery.dta{rm}
saved
{p_end}

{com}. use "$dir/temp/finland_lottery.dta", clear
{txt}
{com}. gen bandwidth=0
{txt}
{com}. keep if parm=="elected"
{txt}(1 observation deleted)

{com}. save "$dir/temp/finland_lottery.dta", replace
{txt}{p 0 4 2}
file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/finland_lottery.dta{rm}
saved
{p_end}

{com}. 
. quietly {c -(}
{txt}
{com}. 
. * Dependent variable = Running t + 1
. * Colombia
. 
. cd "$dir/data"
{res}/Users/jaakko/Documents/PA_replication_package/data
{txt}
{com}. use "personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. reg runningnextelection elected if rv==0 & country=="Colombia", cluster(constituency)

{txt}Linear regression                               Number of obs     = {res}       463
                                                {txt}F(1, 204)         =  {res}    10.31
                                                {txt}Prob > F          = {res}    0.0015
                                                {txt}R-squared         = {res}    0.0202
                                                {txt}Root MSE          =    {res} .49365

{txt}{ralign 78:(Std. err. adjusted for {res:205} clusters in {res:constituency})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}runningnex~n{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}elected {c |}{col 14}{res}{space 2} .1414549{col 26}{space 2} .0440498{col 37}{space 1}    3.21{col 46}{space 3}0.002{col 54}{space 4} .0546035{col 67}{space 3} .2283062
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4786325{col 26}{space 2} .0319365{col 37}{space 1}   14.99{col 46}{space 3}0.000{col 54}{space 4} .4156646{col 67}{space 3} .5416004
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. parmest, saving("$dir/temp/colombia_lottery.dta", replace)
{res}{txt}{p 0 4 2}
file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/colombia_lottery.dta{rm}
saved
{p_end}

{com}. use "$dir/temp/colombia_lottery.dta", clear
{txt}
{com}. gen bandwidth=0
{txt}
{com}. keep if parm=="elected"
{txt}(1 observation deleted)

{com}. save "$dir/temp/colombia_lottery.dta", replace
{txt}{p 0 4 2}
file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/colombia_lottery.dta{rm}
saved
{p_end}

{com}. 
. quietly {c -(}
{txt}
{com}. 
. * Finland       
.         
. cd "$dir/data"
{res}/Users/jaakko/Documents/PA_replication_package/data
{txt}
{com}. use "personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. reg runningnextelection elected if rv==0 & country=="Finland", cluster(constituency)

{txt}Linear regression                               Number of obs     = {res}     1,351
                                                {txt}F(1, 326)         =  {res}     0.18
                                                {txt}Prob > F          = {res}    0.6713
                                                {txt}R-squared         = {res}    0.0001
                                                {txt}Root MSE          =    {res} .48876

{txt}{ralign 78:(Std. err. adjusted for {res:327} clusters in {res:constituency})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}runningnex~n{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}elected {c |}{col 14}{res}{space 2}  .011048{col 26}{space 2} .0260081{col 37}{space 1}    0.42{col 46}{space 3}0.671{col 54}{space 4}-.0401169{col 67}{space 3}  .062213
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6014706{col 26}{space 2}  .018652{col 37}{space 1}   32.25{col 46}{space 3}0.000{col 54}{space 4} .5647771{col 67}{space 3} .6381641
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. parmest, saving("$dir/temp/finland_lottery.dta", replace)
{res}{txt}{p 0 4 2}
file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/finland_lottery.dta{rm}
saved
{p_end}

{com}. use "$dir/temp/finland_lottery.dta", clear
{txt}
{com}. gen bandwidth=0
{txt}
{com}. keep if parm=="elected"
{txt}(1 observation deleted)

{com}. save "$dir/temp/finland_lottery.dta", replace
{txt}{p 0 4 2}
file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/finland_lottery.dta{rm}
saved
{p_end}

{com}. 
. quietly {c -(}
{txt}
{com}. 
. ********************************************************************************
. 
. * Combine the graphs
. 
. graph combine "colombia_rerun_rdplot.gph" "locallinear_colombia_rerun_standard1.gph", graphregion(color(white)) cols(2) subtitle("Colombia", position(11))
{res}{txt}
{com}. graph save "colombia_rerun.gph", replace
{txt}{p 0 4 2}
(file {bf}
colombia_rerun.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:colombia_rerun.gph} saved

{com}. graph combine "finland_rerun_rdplot.gph" "locallinear_finland_rerun_standard1.gph", graphregion(color(white)) cols(2) subtitle("Finland", position(11))
{res}{txt}
{com}. graph save "finland_rerun.gph", replace
{txt}{p 0 4 2}
(file {bf}
finland_rerun.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:finland_rerun.gph} saved

{com}. 
. graph combine "colombia_rerun.gph" "finland_rerun.gph", graphregion(color(white)) cols(1) xsize(3) ysize(2) subtitle("Panel A: Running t+1", position(11))
{res}{txt}
{com}. 
. graph export "$dir/figures/figure_1A.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
/Users/jaakko/Documents/PA_replication_package/figures/figure_1A.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. graph combine "colombia_elected_rdplot.gph" "locallinear_colombia_standard1.gph", graphregion(color(white)) cols(2) subtitle("Colombia", position(11))
{res}{txt}
{com}. graph save "colombia_elected.gph", replace
{txt}{p 0 4 2}
(file {bf}
colombia_elected.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:colombia_elected.gph} saved

{com}. graph combine "finland_elected_rdplot.gph" "locallinear_finland_standard1.gph", graphregion(color(white)) cols(2) subtitle("Finland", position(11))
{res}{txt}
{com}. graph save "finland_elected.gph", replace
{txt}{p 0 4 2}
(file {bf}
finland_elected.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:finland_elected.gph} saved

{com}. 
. graph combine "colombia_elected.gph" "finland_elected.gph", graphregion(color(white)) cols(1) xsize(3) ysize(2) subtitle("Panel B: Elected t+1", position(11))
{res}{txt}
{com}. graph export "$dir/figures/figure_1B.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
/Users/jaakko/Documents/PA_replication_package/figures/figure_1B.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
{txt}end of do-file

{com}. 
. do "$dir/code/Table_1.do" // Table 1
{txt}
{com}. clear all
{res}{txt}
{com}. 
. ********************************************************************************
. ********************************************************************************
. **** When Can We Trust Regression Discontinuity Design Estimates from Close ****
. *************** Elections? Evidence from Experimental Benchmarks ***************
. ********************************************************************************
. ********************************************************************************
. 
. * This file produces Table 1 in the main text of De Magalhaes et al. (Political
. * Analysis).
. 
. cd "$dir"
{res}/Users/jaakko/Documents/PA_replication_package
{txt}
{com}. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. la var elected "Lottery"
{txt}
{com}. 
. ********************************************************************************
. 
. est clear
{txt}
{com}. 
. eststo: reg runningnextelection elected if rv==0 & country=="Colombia", cluster(constituency)

{txt}Linear regression                               Number of obs     = {res}       463
                                                {txt}F(1, 204)         =  {res}    10.31
                                                {txt}Prob > F          = {res}    0.0015
                                                {txt}R-squared         = {res}    0.0202
                                                {txt}Root MSE          =    {res} .49365

{txt}{ralign 78:(Std. err. adjusted for {res:205} clusters in {res:constituency})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}runningnex~n{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}elected {c |}{col 14}{res}{space 2} .1414549{col 26}{space 2} .0440498{col 37}{space 1}    3.21{col 46}{space 3}0.002{col 54}{space 4} .0546035{col 67}{space 3} .2283062
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4786325{col 26}{space 2} .0319365{col 37}{space 1}   14.99{col 46}{space 3}0.000{col 54}{space 4} .4156646{col 67}{space 3} .5416004
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

{com}. estadd local N_obs = e(N)

{txt}added macro:
              e(N_obs) : "{res:463}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27585{col 34}    18227{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.379{col 34}    4.379
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.379{col 34}    4.379
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19899{col 33} .01078{col 43}18.4573{col 52}0.000{col 60} .177861{col 73} .220123
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .1892{col 33} .01078{col 43}17.5490{col 52}0.000{col 60} .168068{col 73}  .21033
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .1892{col 33} .01502{col 43}12.5984{col 52}0.000{col 60} .159765{col 73} .218633
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:45812}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}4.3792689
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    60977{col 34}    27967{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    9.753{col 34}    9.753
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    9.753{col 34}    9.753
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .1994{col 33} .01103{col 43}18.0766{col 52}0.000{col 60} .177781{col 73} .221021
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .19181{col 33} .01103{col 43}17.3884{col 52}0.000{col 60} .170189{col 73} .213429
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .19181{col 33} .01371{col 43}13.9939{col 52}0.000{col 60} .164945{col 73} .218674
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:88944}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}9.7533576
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18147{col 34}    13568{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.980{col 34}    2.980
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.980{col 34}    2.980
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1097

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19306{col 33} .01247{col 43}15.4862{col 52}0.000{col 60} .168626{col 73} .217495
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .18939{col 33} .01247{col 43}15.1919{col 52}0.000{col 60} .164957{col 73} .213826
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .18939{col 33} .01809{col 43}10.4674{col 52}0.000{col 60} .153929{col 73} .224854
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:31715}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}2.9803053
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    40232{col 34}    22854{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.283{col 34}    6.283
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.283{col 34}    6.283
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .18755{col 33} .01271{col 43}14.7557{col 52}0.000{col 60} .162637{col 73} .212461
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .18963{col 33} .01271{col 43}14.9196{col 52}0.000{col 60}  .16472{col 73} .214543
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .18963{col 33} .01688{col 43}11.2365{col 52}0.000{col 60} .156554{col 73} .222709
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est5{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:63086}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}6.2825509
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. eststo: reg runningnextelection elected if rv==0 & country=="Finland", cluster(constituency)

{txt}Linear regression                               Number of obs     = {res}     1,351
                                                {txt}F(1, 326)         =  {res}     0.18
                                                {txt}Prob > F          = {res}    0.6713
                                                {txt}R-squared         = {res}    0.0001
                                                {txt}Root MSE          =    {res} .48876

{txt}{ralign 78:(Std. err. adjusted for {res:327} clusters in {res:constituency})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}runningnex~n{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}elected {c |}{col 14}{res}{space 2}  .011048{col 26}{space 2} .0260081{col 37}{space 1}    0.42{col 46}{space 3}0.671{col 54}{space 4}-.0401169{col 67}{space 3}  .062213
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6014706{col 26}{space 2}  .018652{col 37}{space 1}   32.25{col 46}{space 3}0.000{col 54}{space 4} .5647771{col 67}{space 3} .6381641
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est6{txt} stored)

{com}. estadd local N_obs = e(N)

{txt}added macro:
              e(N_obs) : "{res:1351}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    34541{col 34}    16816{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.481{col 34}    1.481
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.481{col 34}    1.481
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0266{col 33} .01144{col 43}2.3255{col 52}0.020{col 60} .004181{col 73} .049012
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0041{col 33} .01144{col 43}-0.3584{col 52}0.720{col 60}-.026515{col 73} .018317
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0041{col 33} .01854{col 43}-0.2211{col 52}0.825{col 60}-.040436{col 73} .032237
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est7{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:51357}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}1.4809798
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    71641{col 34}    28920{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.499{col 34}    3.499
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.499{col 34}    3.499
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02383{col 33}  .0112{col 43}2.1266{col 52}0.033{col 60} .001868{col 73}  .04579
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0196{col 33}  .0112{col 43}-1.7495{col 52}0.080{col 60}-.041564{col 73} .002358
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0196{col 33} .01507{col 43}-1.3007{col 52}0.193{col 60}-.049141{col 73} .009935
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est8{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:100561}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}3.4991866
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21670{col 34}    12731{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.055{col 34}    1.055
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.055{col 34}    1.055
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00812{col 33} .01391{col 43}0.5836{col 52}0.560{col 60}-.019149{col 73} .035387
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  -.024{col 33} .01391{col 43}-1.7248{col 52}0.085{col 60}-.051265{col 73} .003271
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  -.024{col 33}  .0201{col 43}-1.1940{col 52}0.232{col 60} -.06339{col 73} .015396
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est9{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:34401}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}1.0545802
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    56506{col 34}    23341{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.374{col 34}    2.374
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.374{col 34}    2.374
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00031{col 33} .01352{col 43}-0.0230{col 52}0.982{col 60}-.026806{col 73} .026184
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01662{col 33} .01352{col 43}-1.2294{col 52}0.219{col 60}-.043113{col 73} .009876
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01662{col 33} .02016{col 43}-0.8242{col 52}0.410{col 60}-.056137{col 73}   .0229
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est10{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:79847}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}2.3737257
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/table_1.tex", booktabs ///
> keep(elected Conventional Robust) nomtitles ///
> mgroups("Colombia" "Finland", pattern(1 0 0 0 0 1 0 0 0 0)  prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
> replace  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Bandwidth")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead(\begin{c -(}tabular{c )-}{c -(}l*{c -(}11{c )-}{c -(}c{c )-}{c )-} \toprule) ///
> postfoot("") refcat(elected "\textbf{c -(}Panel A:{c )-} Running t+1", nolabel)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/tables/table_1.tex{rm}
not found)
{p_end}
(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_1.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: reg electednextelection elected if rv==0 & country=="Colombia", cluster(constituency)

{txt}Linear regression                               Number of obs     = {res}       463
                                                {txt}F(1, 204)         =  {res}     0.80
                                                {txt}Prob > F          = {res}    0.3713
                                                {txt}R-squared         = {res}    0.0015
                                                {txt}Root MSE          =    {res} .39291

{txt}{ralign 78:(Std. err. adjusted for {res:205} clusters in {res:constituency})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}electednex~n{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}elected {c |}{col 14}{res}{space 2}-.0304557{col 26}{space 2} .0339923{col 37}{space 1}   -0.90{col 46}{space 3}0.371{col 54}{space 4} -.097477{col 67}{space 3} .0365655
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2051282{col 26}{space 2} .0262297{col 37}{space 1}    7.82{col 46}{space 3}0.000{col 54}{space 4} .1534122{col 67}{space 3} .2568442
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

{com}. estadd local N_obs = e(N)

{txt}added macro:
              e(N_obs) : "{res:463}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19957{col 34}    14569{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.245{col 34}    3.245
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.245{col 34}    3.245
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1098{col 34}     1098

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05175{col 33} .00885{col 43}5.8469{col 52}0.000{col 60} .034401{col 73} .069094
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03995{col 33} .00885{col 43}4.5138{col 52}0.000{col 60} .022602{col 73} .057295
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03995{col 33} .01362{col 43}2.9330{col 52}0.003{col 60} .013253{col 73} .066645
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:34526}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}3.2451569
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    47276{col 34}    24887{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.375{col 34}    7.375
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.375{col 34}    7.375
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04985{col 33} .00887{col 43}5.6191{col 52}0.000{col 60} .032463{col 73} .067239
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03387{col 33} .00887{col 43}3.8179{col 52}0.000{col 60} .016483{col 73}  .05126
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03387{col 33} .01208{col 43}2.8041{col 52}0.005{col 60} .010196{col 73} .057547
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:72163}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}7.3750233
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13079{col 34}    10539{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.208{col 34}    2.208
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.208{col 34}    2.208
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1094{col 34}     1094

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04634{col 33} .01078{col 43}4.2974{col 52}0.000{col 60} .025203{col 73} .067468
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03706{col 33} .01078{col 43}3.4374{col 52}0.001{col 60}  .01593{col 73} .058196
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03706{col 33} .01682{col 43}2.2039{col 52}0.028{col 60} .004103{col 73} .070023
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:23618}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}2.208487
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30045{col 34}    19257{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.751{col 34}    4.751
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.751{col 34}    4.751
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1100

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03853{col 33} .01107{col 43}3.4813{col 52}0.000{col 60} .016836{col 73} .060216
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0425{col 33} .01107{col 43}3.8401{col 52}0.000{col 60} .020806{col 73} .064186
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0425{col 33} .01522{col 43}2.7924{col 52}0.005{col 60} .012668{col 73} .072324
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est5{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:49302}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}4.750565
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. eststo: reg electednextelection elected if rv==0 & country=="Finland", cluster(constituency)

{txt}Linear regression                               Number of obs     = {res}     1,351
                                                {txt}F(1, 326)         =  {res}     0.03
                                                {txt}Prob > F          = {res}    0.8599
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} .46952

{txt}{ralign 78:(Std. err. adjusted for {res:327} clusters in {res:constituency})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}electednex~n{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}elected {c |}{col 14}{res}{space 2} .0043592{col 26}{space 2} .0246709{col 37}{space 1}    0.18{col 46}{space 3}0.860{col 54}{space 4}-.0441752{col 67}{space 3} .0528935
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}     .325{col 26}{space 2}  .017658{col 37}{space 1}   18.41{col 46}{space 3}0.000{col 54}{space 4}  .290262{col 67}{space 3}  .359738
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est6{txt} stored)

{com}. estadd local N_obs = e(N)

{txt}added macro:
              e(N_obs) : "{res:1351}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18954{col 34}    11710{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.960{col 34}    0.960
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.960{col 34}    0.960
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .07014{col 33} .01137{col 43}6.1689{col 52}0.000{col 60} .047858{col 73}  .09243
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02176{col 33} .01137{col 43}1.9140{col 52}0.056{col 60}-.000522{col 73}  .04405
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02176{col 33} .01945{col 43}1.1189{col 52}0.263{col 60}-.016361{col 73} .059888
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est7{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:30664}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}.96026538
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    70910{col 34}    28672{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.432{col 34}    3.432
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.432{col 34}    3.432
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .1112{col 33} .01057{col 43}10.5212{col 52}0.000{col 60} .090485{col 73} .131915
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04091{col 33} .01057{col 43}3.8704{col 52}0.000{col 60} .020192{col 73} .061622
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04091{col 33}  .0126{col 43}3.2459{col 52}0.001{col 60} .016206{col 73} .065608
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est8{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:99582}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}3.4322418
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11826{col 34}     8524{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.684{col 34}    0.684
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.684{col 34}    0.684
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      440{col 34}      440

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05613{col 33}  .0143{col 43}3.9243{col 52}0.000{col 60} .028094{col 73} .084158
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00992{col 33}  .0143{col 43}-0.6934{col 52}0.488{col 60}-.037949{col 73} .018115
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00992{col 33} .02495{col 43}-0.3975{col 52}0.691{col 60}-.058809{col 73} .038975
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est9{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:20350}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}.68378847
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    55717{col 34}    23090{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.328{col 34}    2.328
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.328{col 34}    2.328
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .06654{col 33} .01148{col 43}5.7962{col 52}0.000{col 60}  .04404{col 73} .089041
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02715{col 33} .01148{col 43}2.3651{col 52}0.018{col 60} .004651{col 73} .049652
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02715{col 33} .01559{col 43}1.7414{col 52}0.082{col 60}-.003408{col 73} .057711
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est10{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:78807}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}2.3283127
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/table_1.tex", booktabs ///
> keep(elected Conventional Robust) nomtitles nonumbers ///
> append  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l bandwidth polynomial, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Bandwidth" "Bandwidth selector" "Polynomial")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead("") ///
> postfoot(\bottomrule \end{c -(}tabular{c )-})     refcat(elected "\textbf{c -(}Panel B:{c )-} Elected t+1", nolabel)
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_1.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
{txt}end of do-file

{com}. 
. ********************************************************************************
. 
. * Run the do files producing the analyses in the online appendices
. 
. * Online Appendix B
. 
. do "$dir/code/Table_OA2.do" // Table OA2
{txt}
{com}. clear all
{res}{txt}
{com}. 
. ********************************************************************************
. ********************************************************************************
. **** When Can We Trust Regression Discontinuity Design Estimates from Close ****
. *************** Elections? Evidence from Experimental Benchmarks ***************
. ********************************************************************************
. ********************************************************************************
. 
. * This file produces Table OA2 in Online Appendix B of De Magalhaes et al. 
. * (Political Analysis).
. 
. cd "$dir"
{res}/Users/jaakko/Documents/PA_replication_package
{txt}
{com}. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. ********************************************************************************
. 
. * Table 1: Main results for Brazil and Denmark
. 
. est clear
{txt}
{com}. 
. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(1) all vce(cluster constituency) bwselect(mserd) kernel(uniform)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    44763{col 34}    36158{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.067{col 34}    2.067
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.067{col 34}    2.067
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5549{col 34}     5549

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .10845{col 33} .00699{col 43}15.5082{col 52}0.000{col 60} .094745{col 73} .122157
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .10413{col 33} .00699{col 43}14.8909{col 52}0.000{col 60} .090428{col 73} .117841
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .10413{col 33} .01062{col 43}9.8062{col 52}0.000{col 60} .083321{col 73} .124948
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:80921}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}2.0668095
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(2) all vce(cluster constituency) bwselect(mserd) kernel(uniform)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   177424{col 34}    82947{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.692{col 34}    6.692
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.692{col 34}    6.692
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11775{col 33} .00611{col 43}19.2667{col 52}0.000{col 60} .105771{col 73} .129727
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .11148{col 33} .00611{col 43}18.2412{col 52}0.000{col 60} .099503{col 73}  .12346
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .11148{col 33} .00777{col 43}14.3552{col 52}0.000{col 60} .096261{col 73} .126702
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:260371}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}6.6924171
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(uniform)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26638{col 34}    23491{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.297{col 34}    1.297
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.297{col 34}    1.297
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5435{col 34}     5432

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11035{col 33} .00882{col 43}12.5122{col 52}0.000{col 60} .093065{col 73} .127636
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .09583{col 33} .00882{col 43}10.8659{col 52}0.000{col 60} .078546{col 73} .113117
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .09583{col 33} .01352{col 43}7.0859{col 52}0.000{col 60} .069324{col 73} .122338
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:50129}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}1.29713
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(uniform)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    92537{col 34}    60266{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.930{col 34}    3.930
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.930{col 34}    3.930
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5560

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11145{col 33} .00756{col 43}14.7354{col 52}0.000{col 60} .096623{col 73} .126269
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .09482{col 33} .00756{col 43}12.5366{col 52}0.000{col 60} .079993{col 73}  .10964
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .09482{col 33} .01037{col 43}9.1452{col 52}0.000{col 60} .074496{col 73} .115137
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:152803}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}3.9297383
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(1) all vce(cluster constituency) bwselect(mserd) kernel(uniform)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5335{col 34}     2612{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.100{col 34}    7.100
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.100{col 34}    7.100
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       95

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .35474{col 33} .02176{col 43}16.2989{col 52}0.000{col 60} .312083{col 73}   .3974
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .29965{col 33} .02176{col 43}13.7677{col 52}0.000{col 60} .256992{col 73} .342308
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .29965{col 33}  .0253{col 43}11.8436{col 52}0.000{col 60} .250062{col 73} .349238
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est5{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:7947}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}7.1000373
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(2) all vce(cluster constituency) bwselect(mserd) kernel(uniform)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5529{col 34}     2684{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.158{col 34}    8.158
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.158{col 34}    8.158
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       95

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .30869{col 33}  .0251{col 43}12.3005{col 52}0.000{col 60}   .2595{col 73} .357872
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .24235{col 33}  .0251{col 43}9.6571{col 52}0.000{col 60} .193163{col 73} .291535
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .24235{col 33} .02782{col 43}8.7117{col 52}0.000{col 60} .187825{col 73} .296873
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est6{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:8213}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}8.1580213
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(uniform)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4930{col 34}     2459{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.453{col 34}    5.453
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.453{col 34}    5.453
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .34599{col 33} .02279{col 43}15.1802{col 52}0.000{col 60} .301318{col 73} .390662
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .26636{col 33} .02279{col 43}11.6862{col 52}0.000{col 60} .221683{col 73} .311027
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .26636{col 33} .02591{col 43}10.2816{col 52}0.000{col 60}  .21558{col 73}  .31713
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est7{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:7389}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}5.4531548
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(uniform)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5095{col 34}     2529{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.034{col 34}    6.034
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.034{col 34}    6.034
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .27483{col 33} .02561{col 43}10.7312{col 52}0.000{col 60} .224632{col 73} .325021
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .21015{col 33} .02561{col 43}8.2057{col 52}0.000{col 60} .159953{col 73} .260343
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .21015{col 33} .03218{col 43}6.5296{col 52}0.000{col 60} .147069{col 73} .273227
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est8{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:7624}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}6.0339092
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/table_OA2.tex", booktabs ///
> keep(Conventional Robust) nomtitles ///
> mgroups("Brazil" "Denmark", pattern(1 0 0 0 1 0 0 0)  prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
> replace  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Bandwidth")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead(\begin{c -(}tabular{c )-}{c -(}l*{c -(}9{c )-}{c -(}c{c )-}{c )-} \toprule) ///
> postfoot("") refcat(Conventional "\textbf{c -(}Panel A:{c )-} Running t+1", nolabel)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/tables/table_OA2.tex{rm}
not found)
{p_end}
(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA2.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(1) all vce(cluster constituency) bwselect(mserd) kernel(uniform)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31778{col 34}    27276{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.518{col 34}    1.518
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.518{col 34}    1.518
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5489{col 34}     5488

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02522{col 33} .00766{col 43}-3.2920{col 52}0.001{col 60}-.040242{col 73}-.010206
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05606{col 33} .00766{col 43}-7.3159{col 52}0.000{col 60}-.071074{col 73}-.041038
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05606{col 33} .01194{col 43}-4.6963{col 52}0.000{col 60}-.079451{col 73}-.032661
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:59054}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}1.5179091
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(2) all vce(cluster constituency) bwselect(mserd) kernel(uniform)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   105095{col 34}    64891{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.369{col 34}    4.369
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.369{col 34}    4.369
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5561

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02204{col 33} .00672{col 43}-3.2802{col 52}0.001{col 60}-.035207{col 73} -.00887
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03907{col 33} .00672{col 43}-5.8146{col 52}0.000{col 60}-.052235{col 73}-.025898
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03907{col 33}  .0092{col 43}-4.2449{col 52}0.000{col 60}-.057104{col 73}-.021029
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:169986}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}4.3689057
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(uniform)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19133{col 34}    17359{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.953{col 34}    0.953
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.953{col 34}    0.953
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5207{col 34}     5203

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04595{col 33} .00989{col 43}-4.6486{col 52}0.000{col 60}-.065327{col 73}-.026578
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06059{col 33} .00989{col 43}-6.1289{col 52}0.000{col 60} -.07996{col 73}-.041211
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06059{col 33} .01591{col 43}-3.8091{col 52}0.000{col 60}-.091759{col 73}-.029412
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:36492}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}.95264
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(uniform)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    56578{col 34}    43392{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.565{col 34}    2.565
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.565{col 34}    2.565
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5559{col 34}     5557

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03555{col 33} .00894{col 43}-3.9773{col 52}0.000{col 60}-.053061{col 73}-.018029
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05764{col 33} .00894{col 43}-6.4493{col 52}0.000{col 60}-.075153{col 73}-.040121
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05764{col 33} .01234{col 43}-4.6721{col 52}0.000{col 60}-.081816{col 73}-.033458
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:99970}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}2.5653894
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(1) all vce(cluster constituency) bwselect(mserd) kernel(uniform)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4377{col 34}     2153{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.578{col 34}    3.578
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.578{col 34}    3.578
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .28811{col 33} .01942{col 43}14.8353{col 52}0.000{col 60} .250042{col 73} .326168
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .1984{col 33} .01942{col 43}10.2162{col 52}0.000{col 60} .160338{col 73} .236464
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .1984{col 33} .02743{col 43}7.2327{col 52}0.000{col 60} .144637{col 73} .252165
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est5{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:6530}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}3.5779495
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(2) all vce(cluster constituency) bwselect(mserd) kernel(uniform)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5196{col 34}     2561{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.436{col 34}    6.436
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.436{col 34}    6.436
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       93{col 34}       93

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .25159{col 33} .02224{col 43}11.3117{col 52}0.000{col 60}    .208{col 73} .295186
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .18853{col 33} .02224{col 43}8.4763{col 52}0.000{col 60} .144936{col 73} .232122
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .18853{col 33} .02706{col 43}6.9681{col 52}0.000{col 60} .135501{col 73} .241558
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est6{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:7757}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}6.4356191
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(uniform)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3985{col 34}     1958{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.748{col 34}    2.748
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.748{col 34}    2.748
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .26914{col 33} .02163{col 43}12.4459{col 52}0.000{col 60} .226759{col 73} .311528
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .17094{col 33} .02163{col 43}7.9049{col 52}0.000{col 60}  .12856{col 73} .213328
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .17094{col 33} .02888{col 43}5.9188{col 52}0.000{col 60} .114337{col 73} .227551
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est7{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:5943}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}2.7480296
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(uniform)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4735{col 34}     2346{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.760{col 34}    4.760
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.760{col 34}    4.760
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .22492{col 33} .02391{col 43}9.4083{col 52}0.000{col 60} .178065{col 73} .271778
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .16534{col 33} .02391{col 43}6.9159{col 52}0.000{col 60} .118482{col 73} .212195
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .16534{col 33} .03071{col 43}5.3841{col 52}0.000{col 60} .105151{col 73} .225526
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est8{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:7081}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}4.7599706
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. 
. esttab est* using "$dir/tables/table_OA2.tex", booktabs ///
> keep(Conventional Robust) nomtitles nonumbers ///
> append  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l bandwidth polynomial, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Bandwidth" "Bandwidth selector" "Polynomial")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead("") ///
> postfoot(\bottomrule \end{c -(}tabular{c )-})     refcat(Conventional "\textbf{c -(}Panel B:{c )-} Elected t+1", nolabel)
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA2.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
{txt}end of do-file

{com}. 
. do "$dir/code/Figure_OA2.do" // Figure OA2
{txt}
{com}. clear all
{res}{txt}
{com}. 
. ********************************************************************************
. ********************************************************************************
. **** When Can We Trust Regression Discontinuity Design Estimates from Close ****
. *************** Elections? Evidence from Experimental Benchmarks ***************
. ********************************************************************************
. ********************************************************************************
. 
. * This file produces Figure OA2 in Appendix B of De Magalhaes et al. (Political
. * Analysis).
. 
. cd "$dir"
{res}/Users/jaakko/Documents/PA_replication_package
{txt}
{com}. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. ********************************************************************************
. 
. * RDD plots: Elected t + 1 
. 
. cd "$dir/temp/" 
{res}/Users/jaakko/Documents/PA_replication_package/temp
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & country=="Brazil", all vce(cluster constituency) kernel(uniform) p(2)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    4.369{col 41}    4.369{txt}{col 50} {c |} {col 51}{res}   10.290{col 71}   10.290
{txt}{ralign 18:msetwo}{col 19} {c |} {col 22}{res}    3.926{col 41}    7.432{txt}{col 50} {c |} {col 51}{res}    9.737{col 71}   14.056
{txt}{ralign 18:msesum}{col 19} {c |} {col 22}{res}    4.583{col 41}    4.583{txt}{col 50} {c |} {col 51}{res}   11.470{col 71}   11.470
{txt}{ralign 18:msecomb1}{col 19} {c |} {col 22}{res}    4.369{col 41}    4.369{txt}{col 50} {c |} {col 51}{res}   10.290{col 71}   10.290
{txt}{ralign 18:msecomb2}{col 19} {c |} {col 22}{res}    4.369{col 41}    4.583{txt}{col 50} {c |} {col 51}{res}   10.290{col 71}   11.470
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    2.565{col 41}    2.565{txt}{col 50} {c |} {col 51}{res}   10.290{col 71}   10.290
{txt}{ralign 18:certwo}{col 19} {c |} {col 22}{res}    2.306{col 41}    4.364{txt}{col 50} {c |} {col 51}{res}    9.737{col 71}   14.056
{txt}{ralign 18:cersum}{col 19} {c |} {col 22}{res}    2.691{col 41}    2.691{txt}{col 50} {c |} {col 51}{res}   11.470{col 71}   11.470
{txt}{ralign 18:cercomb1}{col 19} {c |} {col 22}{res}    2.565{col 41}    2.565{txt}{col 50} {c |} {col 51}{res}   10.290{col 71}   10.290
{txt}{ralign 18:cercomb2}{col 19} {c |} {col 22}{res}    2.565{col 41}    2.691{txt}{col 50} {c |} {col 51}{res}   10.290{col 71}   11.470
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h_CER2=e(h_cerrd)
{txt}
{com}. rdplot electednextelection rv if abs(rv)<=`h_CER2' & rv!=0 & country=="Brazil", p(2) genvars binselect(es)
{res}{err}Mass points detected in the running variable.
{res}
RD Plot with evenly spaced number of bins using polynomial regression.

{txt}{ralign 21: Cutoff c = 0}{col 22} {c |} {col 23}Left of {res}c{col 36}{txt}Right of {res}c{col 54}{txt}Number of obs  = {res}     99970
{txt}{hline 22}{c +}{hline 22}{col 54}Kernel         = {res}{ralign 10:Uniform}
{txt}{ralign 21:Number of obs}{col 22} {c |} {col 23}{res}    56578{col 37}    43392
{txt}{ralign 21:Eff. Number of obs}{col 22} {c |} {col 23}{res}    56577{col 37}    43391
{txt}{ralign 21:Order poly. fit (p)}{col 22} {c |} {col 23}{res}        2{col 37}        2
{txt}{ralign 21:BW poly. fit (h)}{col 22} {c |} {col 23}{res}    2.565{col 37}    2.565
{txt}{ralign 21:Number of bins scale}{col 22} {c |} {col 23}{res}    1.000{col 37}    1.000

Outcome: electednextelection. Running variable: rv.
{txt}{hline 22}{c TT}{hline 22}
{col 22} {c |} {col 23}Left of {res}c{col 36}{txt}Right of {res}c
{txt}{hline 22}{c +}{hline 22}
{ralign 21:Bins selected}{col 22} {c |} {col 23}{res}       17{col 37}        7
{txt}{ralign 21:Average bin length}{col 22} {c |} {col 23}{res}    0.151{col 37}    0.366
{txt}{ralign 21:Median bin length}{col 22} {c |} {col 23}{res}    0.151{col 37}    0.366
{txt}{hline 22}{c +}{hline 22}
{ralign 21:IMSE-optimal bins}{col 22} {c |} {col 23}{res}       17{col 37}        7
{txt}{ralign 21:Mimicking Var. bins}{col 22} {c |} {col 23}{res}      757{col 37}      755
{txt}{hline 22}{c +}{hline 22}
{lalign 1:Rel. to IMSE-optimal:}{col 22} {c |} 
{ralign 21:Implied scale}{col 22} {c |} {col 23}{res}    1.000{col 37}    1.000
{txt}{ralign 21:WIMSE var. weight}{col 22} {c |} {col 23}{res}    0.500{col 37}    0.500
{txt}{ralign 21:WIMSE bias weight}{col 22} {c |} {col 23}{res}    0.500{col 37}    0.500
{txt}{hline 22}{c BT}{hline 22}

{res}{txt}
{com}. bysort rdplot_mean_y rdplot_mean_x: gen n = _n
{txt}
{com}. replace rdplot_mean_y = . if n != 1
{txt}(99,953 real changes made, 99,953 to missing)

{com}. replace rdplot_mean_x = . if n != 1
{txt}(99,953 real changes made, 99,953 to missing)

{com}. rdbwselect electednextelection rv if rv!=0 & country=="Brazil", all vce(cluster constituency) kernel(uniform)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    1.518{col 41}    1.518{txt}{col 50} {c |} {col 51}{res}    6.617{col 71}    6.617
{txt}{ralign 18:msetwo}{col 19} {c |} {col 22}{res}    1.281{col 41}    2.656{txt}{col 50} {c |} {col 51}{res}    5.164{col 71}    7.223
{txt}{ralign 18:msesum}{col 19} {c |} {col 22}{res}    1.820{col 41}    1.820{txt}{col 50} {c |} {col 51}{res}    6.343{col 71}    6.343
{txt}{ralign 18:msecomb1}{col 19} {c |} {col 22}{res}    1.518{col 41}    1.518{txt}{col 50} {c |} {col 51}{res}    6.343{col 71}    6.343
{txt}{ralign 18:msecomb2}{col 19} {c |} {col 22}{res}    1.518{col 41}    1.820{txt}{col 50} {c |} {col 51}{res}    6.343{col 71}    6.617
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    0.953{col 41}    0.953{txt}{col 50} {c |} {col 51}{res}    6.617{col 71}    6.617
{txt}{ralign 18:certwo}{col 19} {c |} {col 22}{res}    0.804{col 41}    1.667{txt}{col 50} {c |} {col 51}{res}    5.164{col 71}    7.223
{txt}{ralign 18:cersum}{col 19} {c |} {col 22}{res}    1.142{col 41}    1.142{txt}{col 50} {c |} {col 51}{res}    6.343{col 71}    6.343
{txt}{ralign 18:cercomb1}{col 19} {c |} {col 22}{res}    0.953{col 41}    0.953{txt}{col 50} {c |} {col 51}{res}    6.343{col 71}    6.343
{txt}{ralign 18:cercomb2}{col 19} {c |} {col 22}{res}    0.953{col 41}    1.142{txt}{col 50} {c |} {col 51}{res}    6.343{col 71}    6.617
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h_MSE1=e(h_mserd)
{txt}
{com}. local h_CER1=e(h_cerrd)
{txt}
{com}. twoway (scatter rdplot_mean_y rdplot_mean_x if abs(rv)<=`h_CER2' & rv!=0 & country=="Brazil", plotregion(lcolor(black)) ylabel(, format(%3.2f) angle(0)) xlabel(#5, format(%3.2f)) msize(small) mcolor(gs6) xline(0, lcolor(gs12)) xtitle("Vote margin") ytitle("Elected t+1") legend(off) graphregion(color(white))) ///
>         (lfit electednextelection rv if rv<0 & abs(rv)<=`h_CER1' & country=="Brazil", lcolor(red) lwidth(medthick) lpattern(--)) ///
>         (lfit electednextelection rv if rv<0 & abs(rv)<=`h_MSE1' & country=="Brazil", lcolor(red) lwidth(medthick)) ///
>         (qfit electednextelection rv if rv<0 & abs(rv)<=`h_CER2' & country=="Brazil", lcolor(blue) lwidth(thin) lpattern(--)) ///
>         (lfit electednextelection rv if rv>0 & abs(rv)<=`h_CER1' & country=="Brazil", lcolor(red) lwidth(medthick) lpattern(--)) ///
>         (lfit electednextelection rv if rv>0 & abs(rv)<=`h_MSE1' & country=="Brazil", lcolor(red) lwidth(medthick)) ///
>         (qfit electednextelection rv if rv>0 & abs(rv)<=`h_CER2' & country=="Brazil", lcolor(blue) lwidth(thin) lpattern(--))
{res}{txt}
{com}. graph save "brazil_elected_rdplot.gph", replace
{txt}{p 0 4 2}
(file {bf}
brazil_elected_rdplot.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:brazil_elected_rdplot.gph} saved

{com}. drop rdplot* n
{txt}
{com}. 
. 
. rdbwselect electednextelection rv if rv!=0 & country=="Denmark", all vce(cluster constituency) kernel(uniform) p(2)
{res}
Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -88.411{col 34}    0.005
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.005{col 34}   88.334
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       98{col 34}       98

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    6.436{col 41}    6.436{txt}{col 50} {c |} {col 51}{res}   17.617{col 71}   17.617
{txt}{ralign 18:msetwo}{col 19} {c |} {col 22}{res}    7.155{col 41}    6.548{txt}{col 50} {c |} {col 51}{res}   16.463{col 71}   16.588
{txt}{ralign 18:msesum}{col 19} {c |} {col 22}{res}    8.192{col 41}    8.192{txt}{col 50} {c |} {col 51}{res}   17.775{col 71}   17.775
{txt}{ralign 18:msecomb1}{col 19} {c |} {col 22}{res}    6.436{col 41}    6.436{txt}{col 50} {c |} {col 51}{res}   17.617{col 71}   17.617
{txt}{ralign 18:msecomb2}{col 19} {c |} {col 22}{res}    7.155{col 41}    6.548{txt}{col 50} {c |} {col 51}{res}   17.617{col 71}   17.617
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    4.760{col 41}    4.760{txt}{col 50} {c |} {col 51}{res}   17.617{col 71}   17.617
{txt}{ralign 18:certwo}{col 19} {c |} {col 22}{res}    5.292{col 41}    4.843{txt}{col 50} {c |} {col 51}{res}   16.463{col 71}   16.588
{txt}{ralign 18:cersum}{col 19} {c |} {col 22}{res}    6.059{col 41}    6.059{txt}{col 50} {c |} {col 51}{res}   17.775{col 71}   17.775
{txt}{ralign 18:cercomb1}{col 19} {c |} {col 22}{res}    4.760{col 41}    4.760{txt}{col 50} {c |} {col 51}{res}   17.617{col 71}   17.617
{txt}{ralign 18:cercomb2}{col 19} {c |} {col 22}{res}    5.292{col 41}    4.843{txt}{col 50} {c |} {col 51}{res}   17.617{col 71}   17.617
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Std. Err. adjusted for clusters in constituency

{com}. local h_CER2=e(h_cerrd)
{txt}
{com}. rdplot electednextelection rv if abs(rv)<=`h_CER2' & rv!=0 & country=="Denmark", p(2) genvars binselect(es)
{res}
RD Plot with evenly spaced number of bins using spacings estimators.

{txt}{ralign 21: Cutoff c = 0}{col 22} {c |} {col 23}Left of {res}c{col 36}{txt}Right of {res}c{col 54}{txt}Number of obs  = {res}      7081
{txt}{hline 22}{c +}{hline 22}{col 54}Kernel         = {res}{ralign 10:Uniform}
{txt}{ralign 21:Number of obs}{col 22} {c |} {col 23}{res}     4735{col 37}     2346
{txt}{ralign 21:Eff. Number of obs}{col 22} {c |} {col 23}{res}     4735{col 37}     2346
{txt}{ralign 21:Order poly. fit (p)}{col 22} {c |} {col 23}{res}        2{col 37}        2
{txt}{ralign 21:BW poly. fit (h)}{col 22} {c |} {col 23}{res}    4.760{col 37}    4.753
{txt}{ralign 21:Number of bins scale}{col 22} {c |} {col 23}{res}    1.000{col 37}    1.000

Outcome: electednextelection. Running variable: rv.
{txt}{hline 22}{c TT}{hline 22}
{col 22} {c |} {col 23}Left of {res}c{col 36}{txt}Right of {res}c
{txt}{hline 22}{c +}{hline 22}
{ralign 21:Bins selected}{col 22} {c |} {col 23}{res}       19{col 37}        9
{txt}{ralign 21:Average bin length}{col 22} {c |} {col 23}{res}    0.251{col 37}    0.528
{txt}{ralign 21:Median bin length}{col 22} {c |} {col 23}{res}    0.251{col 37}    0.528
{txt}{hline 22}{c +}{hline 22}
{ralign 21:IMSE-optimal bins}{col 22} {c |} {col 23}{res}       19{col 37}        9
{txt}{ralign 21:Mimicking Var. bins}{col 22} {c |} {col 23}{res}      118{col 37}       84
{txt}{hline 22}{c +}{hline 22}
{lalign 1:Rel. to IMSE-optimal:}{col 22} {c |} 
{ralign 21:Implied scale}{col 22} {c |} {col 23}{res}    1.000{col 37}    1.000
{txt}{ralign 21:WIMSE var. weight}{col 22} {c |} {col 23}{res}    0.500{col 37}    0.500
{txt}{ralign 21:WIMSE bias weight}{col 22} {c |} {col 23}{res}    0.500{col 37}    0.500
{txt}{hline 22}{c BT}{hline 22}

{res}{txt}
{com}. bysort rdplot_mean_y rdplot_mean_x: gen n = _n
{txt}
{com}. replace rdplot_mean_y = . if n != 1
{txt}(7,053 real changes made, 7,053 to missing)

{com}. replace rdplot_mean_x = . if n != 1
{txt}(7,053 real changes made, 7,053 to missing)

{com}. rdbwselect electednextelection rv if rv!=0 & country=="Denmark", all vce(cluster constituency) kernel(uniform)
{res}
Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -88.411{col 34}    0.005
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.005{col 34}   88.334
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       98{col 34}       98

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    3.578{col 41}    3.578{txt}{col 50} {c |} {col 51}{res}   14.002{col 71}   14.002
{txt}{ralign 18:msetwo}{col 19} {c |} {col 22}{res}    3.356{col 41}    3.625{txt}{col 50} {c |} {col 51}{res}   11.811{col 71}   12.555
{txt}{ralign 18:msesum}{col 19} {c |} {col 22}{res}    4.660{col 41}    4.660{txt}{col 50} {c |} {col 51}{res}   13.442{col 71}   13.442
{txt}{ralign 18:msecomb1}{col 19} {c |} {col 22}{res}    3.578{col 41}    3.578{txt}{col 50} {c |} {col 51}{res}   13.442{col 71}   13.442
{txt}{ralign 18:msecomb2}{col 19} {c |} {col 22}{res}    3.578{col 41}    3.625{txt}{col 50} {c |} {col 51}{res}   13.442{col 71}   13.442
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    2.748{col 41}    2.748{txt}{col 50} {c |} {col 51}{res}   14.002{col 71}   14.002
{txt}{ralign 18:certwo}{col 19} {c |} {col 22}{res}    2.578{col 41}    2.784{txt}{col 50} {c |} {col 51}{res}   11.811{col 71}   12.555
{txt}{ralign 18:cersum}{col 19} {c |} {col 22}{res}    3.579{col 41}    3.579{txt}{col 50} {c |} {col 51}{res}   13.442{col 71}   13.442
{txt}{ralign 18:cercomb1}{col 19} {c |} {col 22}{res}    2.748{col 41}    2.748{txt}{col 50} {c |} {col 51}{res}   13.442{col 71}   13.442
{txt}{ralign 18:cercomb2}{col 19} {c |} {col 22}{res}    2.748{col 41}    2.784{txt}{col 50} {c |} {col 51}{res}   13.442{col 71}   13.442
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Std. Err. adjusted for clusters in constituency

{com}. local h_MSE1=e(h_mserd)
{txt}
{com}. local h_CER1=e(h_cerrd)
{txt}
{com}. twoway (scatter rdplot_mean_y rdplot_mean_x if abs(rv)<=`h_CER2' & rv!=0 & country=="Denmark", plotregion(lcolor(black)) ylabel(, format(%3.2f) angle(0)) xlabel(#5, format(%3.2f)) msize(small) mcolor(gs6) xline(0, lcolor(gs12)) xtitle("Vote margin") ytitle("Elected t+1") legend(off) graphregion(color(white))) ///
>         (lfit electednextelection rv if rv<0 & abs(rv)<=`h_CER1' & country=="Denmark", lcolor(red) lwidth(medthick) lpattern(--)) ///
>         (lfit electednextelection rv if rv<0 & abs(rv)<=`h_MSE1' & country=="Denmark", lcolor(red) lwidth(medthick)) ///
>         (qfit electednextelection rv if rv<0 & abs(rv)<=`h_CER2' & country=="Denmark", lcolor(blue) lwidth(thin) lpattern(--)) ///
>         (lfit electednextelection rv if rv>0 & abs(rv)<=`h_CER1' & country=="Denmark", lcolor(red) lwidth(medthick) lpattern(--)) ///
>         (lfit electednextelection rv if rv>0 & abs(rv)<=`h_MSE1' & country=="Denmark", lcolor(red) lwidth(medthick)) ///
>         (qfit electednextelection rv if rv>0 & abs(rv)<=`h_CER2' & country=="Denmark", lcolor(blue) lwidth(thin) lpattern(--))
{res}{txt}
{com}. graph save "Denmark_elected_rdplot.gph", replace
{txt}{p 0 4 2}
(file {bf}
Denmark_elected_rdplot.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:Denmark_elected_rdplot.gph} saved

{com}. drop rdplot* n
{txt}
{com}. 
. * RDD plots: Running t + 1
. 
. rdbwselect runningnextelection rv if rv!=0 & country=="Brazil", all vce(cluster constituency) kernel(uniform) p(2)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    6.692{col 41}    6.692{txt}{col 50} {c |} {col 51}{res}   11.463{col 71}   11.463
{txt}{ralign 18:msetwo}{col 19} {c |} {col 22}{res}    6.783{col 41}    9.129{txt}{col 50} {c |} {col 51}{res}   11.761{col 71}   17.404
{txt}{ralign 18:msesum}{col 19} {c |} {col 22}{res}    6.970{col 41}    6.970{txt}{col 50} {c |} {col 51}{res}   13.415{col 71}   13.415
{txt}{ralign 18:msecomb1}{col 19} {c |} {col 22}{res}    6.692{col 41}    6.692{txt}{col 50} {c |} {col 51}{res}   11.463{col 71}   11.463
{txt}{ralign 18:msecomb2}{col 19} {c |} {col 22}{res}    6.783{col 41}    6.970{txt}{col 50} {c |} {col 51}{res}   11.761{col 71}   13.415
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    3.930{col 41}    3.930{txt}{col 50} {c |} {col 51}{res}   11.463{col 71}   11.463
{txt}{ralign 18:certwo}{col 19} {c |} {col 22}{res}    3.983{col 41}    5.360{txt}{col 50} {c |} {col 51}{res}   11.761{col 71}   17.404
{txt}{ralign 18:cersum}{col 19} {c |} {col 22}{res}    4.092{col 41}    4.092{txt}{col 50} {c |} {col 51}{res}   13.415{col 71}   13.415
{txt}{ralign 18:cercomb1}{col 19} {c |} {col 22}{res}    3.930{col 41}    3.930{txt}{col 50} {c |} {col 51}{res}   11.463{col 71}   11.463
{txt}{ralign 18:cercomb2}{col 19} {c |} {col 22}{res}    3.983{col 41}    4.092{txt}{col 50} {c |} {col 51}{res}   11.761{col 71}   13.415
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h_CER2=e(h_cerrd)
{txt}
{com}. rdplot runningnextelection rv if abs(rv)<=`h_CER2' & rv!=0 & country=="Brazil", p(2) genvars binselect(es)
{res}{err}Mass points detected in the running variable.
{res}
RD Plot with evenly spaced number of bins using polynomial regression.

{txt}{ralign 21: Cutoff c = 0}{col 22} {c |} {col 23}Left of {res}c{col 36}{txt}Right of {res}c{col 54}{txt}Number of obs  = {res}    152803
{txt}{hline 22}{c +}{hline 22}{col 54}Kernel         = {res}{ralign 10:Uniform}
{txt}{ralign 21:Number of obs}{col 22} {c |} {col 23}{res}    92537{col 37}    60266
{txt}{ralign 21:Eff. Number of obs}{col 22} {c |} {col 23}{res}    92537{col 37}    60266
{txt}{ralign 21:Order poly. fit (p)}{col 22} {c |} {col 23}{res}        2{col 37}        2
{txt}{ralign 21:BW poly. fit (h)}{col 22} {c |} {col 23}{res}    3.930{col 37}    3.930
{txt}{ralign 21:Number of bins scale}{col 22} {c |} {col 23}{res}    1.000{col 37}    1.000

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 22}{c TT}{hline 22}
{col 22} {c |} {col 23}Left of {res}c{col 36}{txt}Right of {res}c
{txt}{hline 22}{c +}{hline 22}
{ralign 21:Bins selected}{col 22} {c |} {col 23}{res}       18{col 37}        4
{txt}{ralign 21:Average bin length}{col 22} {c |} {col 23}{res}    0.218{col 37}    0.982
{txt}{ralign 21:Median bin length}{col 22} {c |} {col 23}{res}    0.218{col 37}    0.982
{txt}{hline 22}{c +}{hline 22}
{ralign 21:IMSE-optimal bins}{col 22} {c |} {col 23}{res}       18{col 37}        4
{txt}{ralign 21:Mimicking Var. bins}{col 22} {c |} {col 23}{res}     1097{col 37}     1070
{txt}{hline 22}{c +}{hline 22}
{lalign 1:Rel. to IMSE-optimal:}{col 22} {c |} 
{ralign 21:Implied scale}{col 22} {c |} {col 23}{res}    1.000{col 37}    1.000
{txt}{ralign 21:WIMSE var. weight}{col 22} {c |} {col 23}{res}    0.500{col 37}    0.500
{txt}{ralign 21:WIMSE bias weight}{col 22} {c |} {col 23}{res}    0.500{col 37}    0.500
{txt}{hline 22}{c BT}{hline 22}

{res}{txt}
{com}. bysort rdplot_mean_y rdplot_mean_x: gen n = _n
{txt}
{com}. replace rdplot_mean_y = . if n != 1
{txt}(152,792 real changes made, 152,792 to missing)

{com}. replace rdplot_mean_x = . if n != 1
{txt}(152,792 real changes made, 152,792 to missing)

{com}. rdbwselect runningnextelection rv if rv!=0 & country=="Brazil", all vce(cluster constituency) kernel(uniform)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    2.067{col 41}    2.067{txt}{col 50} {c |} {col 51}{res}    6.272{col 71}    6.272
{txt}{ralign 18:msetwo}{col 19} {c |} {col 22}{res}    1.952{col 41}    6.255{txt}{col 50} {c |} {col 51}{res}    5.624{col 71}   14.952
{txt}{ralign 18:msesum}{col 19} {c |} {col 22}{res}    2.244{col 41}    2.244{txt}{col 50} {c |} {col 51}{res}    6.054{col 71}    6.054
{txt}{ralign 18:msecomb1}{col 19} {c |} {col 22}{res}    2.067{col 41}    2.067{txt}{col 50} {c |} {col 51}{res}    6.054{col 71}    6.054
{txt}{ralign 18:msecomb2}{col 19} {c |} {col 22}{res}    2.067{col 41}    2.244{txt}{col 50} {c |} {col 51}{res}    6.054{col 71}    6.272
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    1.297{col 41}    1.297{txt}{col 50} {c |} {col 51}{res}    6.272{col 71}    6.272
{txt}{ralign 18:certwo}{col 19} {c |} {col 22}{res}    1.225{col 41}    3.926{txt}{col 50} {c |} {col 51}{res}    5.624{col 71}   14.952
{txt}{ralign 18:cersum}{col 19} {c |} {col 22}{res}    1.408{col 41}    1.408{txt}{col 50} {c |} {col 51}{res}    6.054{col 71}    6.054
{txt}{ralign 18:cercomb1}{col 19} {c |} {col 22}{res}    1.297{col 41}    1.297{txt}{col 50} {c |} {col 51}{res}    6.054{col 71}    6.054
{txt}{ralign 18:cercomb2}{col 19} {c |} {col 22}{res}    1.297{col 41}    1.408{txt}{col 50} {c |} {col 51}{res}    6.054{col 71}    6.272
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h_MSE1=e(h_mserd)
{txt}
{com}. local h_CER1=e(h_cerrd)
{txt}
{com}. twoway (scatter rdplot_mean_y rdplot_mean_x if abs(rv)<=`h_CER2' & rv!=0 & country=="Brazil", plotregion(lcolor(black)) ylabel(, format(%3.2f) angle(0)) xlabel(#5, format(%3.2f)) msize(small) mcolor(gs6) xline(0, lcolor(gs12)) xtitle("Vote margin") ytitle("Elected t+1") legend(off) graphregion(color(white))) ///
>         (lfit runningnextelection rv if rv<0 & abs(rv)<=`h_CER1' & country=="Brazil", lcolor(red) lwidth(medthick) lpattern(--)) ///
>         (lfit runningnextelection rv if rv<0 & abs(rv)<=`h_MSE1' & country=="Brazil", lcolor(red) lwidth(medthick)) ///
>         (qfit runningnextelection rv if rv<0 & abs(rv)<=`h_CER2' & country=="Brazil", lcolor(blue) lwidth(thin) lpattern(--)) ///
>         (lfit runningnextelection rv if rv>0 & abs(rv)<=`h_CER1' & country=="Brazil", lcolor(red) lwidth(medthick) lpattern(--)) ///
>         (lfit runningnextelection rv if rv>0 & abs(rv)<=`h_MSE1' & country=="Brazil", lcolor(red) lwidth(medthick)) ///
>         (qfit runningnextelection rv if rv>0 & abs(rv)<=`h_CER2' & country=="Brazil", lcolor(blue) lwidth(thin) lpattern(--))
{res}{txt}
{com}. graph save "brazil_rerun_rdplot.gph", replace
{txt}{p 0 4 2}
(file {bf}
brazil_rerun_rdplot.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:brazil_rerun_rdplot.gph} saved

{com}. drop rdplot* n
{txt}
{com}. 
. 
. rdbwselect runningnextelection rv if rv!=0 & country=="Denmark", all vce(cluster constituency) kernel(uniform) p(2)
{res}
Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -88.411{col 34}    0.005
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.005{col 34}   88.334
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       98{col 34}       98

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    8.158{col 41}    8.158{txt}{col 50} {c |} {col 51}{res}   18.716{col 71}   18.716
{txt}{ralign 18:msetwo}{col 19} {c |} {col 22}{res}    6.560{col 41}   13.877{txt}{col 50} {c |} {col 51}{res}   16.251{col 71}   30.142
{txt}{ralign 18:msesum}{col 19} {c |} {col 22}{res}    8.877{col 41}    8.877{txt}{col 50} {c |} {col 51}{res}   19.494{col 71}   19.494
{txt}{ralign 18:msecomb1}{col 19} {c |} {col 22}{res}    8.158{col 41}    8.158{txt}{col 50} {c |} {col 51}{res}   18.716{col 71}   18.716
{txt}{ralign 18:msecomb2}{col 19} {c |} {col 22}{res}    8.158{col 41}    8.877{txt}{col 50} {c |} {col 51}{res}   18.716{col 71}   19.494
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    6.034{col 41}    6.034{txt}{col 50} {c |} {col 51}{res}   18.716{col 71}   18.716
{txt}{ralign 18:certwo}{col 19} {c |} {col 22}{res}    4.852{col 41}   10.264{txt}{col 50} {c |} {col 51}{res}   16.251{col 71}   30.142
{txt}{ralign 18:cersum}{col 19} {c |} {col 22}{res}    6.566{col 41}    6.566{txt}{col 50} {c |} {col 51}{res}   19.494{col 71}   19.494
{txt}{ralign 18:cercomb1}{col 19} {c |} {col 22}{res}    6.034{col 41}    6.034{txt}{col 50} {c |} {col 51}{res}   18.716{col 71}   18.716
{txt}{ralign 18:cercomb2}{col 19} {c |} {col 22}{res}    6.034{col 41}    6.566{txt}{col 50} {c |} {col 51}{res}   18.716{col 71}   19.494
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Std. Err. adjusted for clusters in constituency

{com}. local h_CER2=e(h_cerrd)
{txt}
{com}. rdplot runningnextelection rv if abs(rv)<=`h_CER2' & rv!=0 & country=="Denmark", p(2) genvars binselect(es)
{res}
RD Plot with evenly spaced number of bins using spacings estimators.

{txt}{ralign 21: Cutoff c = 0}{col 22} {c |} {col 23}Left of {res}c{col 36}{txt}Right of {res}c{col 54}{txt}Number of obs  = {res}      7624
{txt}{hline 22}{c +}{hline 22}{col 54}Kernel         = {res}{ralign 10:Uniform}
{txt}{ralign 21:Number of obs}{col 22} {c |} {col 23}{res}     5095{col 37}     2529
{txt}{ralign 21:Eff. Number of obs}{col 22} {c |} {col 23}{res}     5095{col 37}     2529
{txt}{ralign 21:Order poly. fit (p)}{col 22} {c |} {col 23}{res}        2{col 37}        2
{txt}{ralign 21:BW poly. fit (h)}{col 22} {c |} {col 23}{res}    6.017{col 37}    6.015
{txt}{ralign 21:Number of bins scale}{col 22} {c |} {col 23}{res}    1.000{col 37}    1.000

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 22}{c TT}{hline 22}
{col 22} {c |} {col 23}Left of {res}c{col 36}{txt}Right of {res}c
{txt}{hline 22}{c +}{hline 22}
{ralign 21:Bins selected}{col 22} {c |} {col 23}{res}       16{col 37}        7
{txt}{ralign 21:Average bin length}{col 22} {c |} {col 23}{res}    0.376{col 37}    0.859
{txt}{ralign 21:Median bin length}{col 22} {c |} {col 23}{res}    0.376{col 37}    0.859
{txt}{hline 22}{c +}{hline 22}
{ralign 21:IMSE-optimal bins}{col 22} {c |} {col 23}{res}       16{col 37}        7
{txt}{ralign 21:Mimicking Var. bins}{col 22} {c |} {col 23}{res}       98{col 37}       95
{txt}{hline 22}{c +}{hline 22}
{lalign 1:Rel. to IMSE-optimal:}{col 22} {c |} 
{ralign 21:Implied scale}{col 22} {c |} {col 23}{res}    1.000{col 37}    1.000
{txt}{ralign 21:WIMSE var. weight}{col 22} {c |} {col 23}{res}    0.500{col 37}    0.500
{txt}{ralign 21:WIMSE bias weight}{col 22} {c |} {col 23}{res}    0.500{col 37}    0.500
{txt}{hline 22}{c BT}{hline 22}

{res}{txt}
{com}. bysort rdplot_mean_y rdplot_mean_x: gen n = _n
{txt}
{com}. replace rdplot_mean_y = . if n != 1
{txt}(7,601 real changes made, 7,601 to missing)

{com}. replace rdplot_mean_x = . if n != 1
{txt}(7,601 real changes made, 7,601 to missing)

{com}. rdbwselect runningnextelection rv if rv!=0 & country=="Denmark", all vce(cluster constituency) kernel(uniform)
{res}
Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -88.411{col 34}    0.005
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.005{col 34}   88.334
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       98{col 34}       98

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    7.100{col 41}    7.100{txt}{col 50} {c |} {col 51}{res}   21.783{col 71}   21.783
{txt}{ralign 18:msetwo}{col 19} {c |} {col 22}{res}    6.901{col 41}    8.658{txt}{col 50} {c |} {col 51}{res}   20.061{col 71}   23.363
{txt}{ralign 18:msesum}{col 19} {c |} {col 22}{res}    9.475{col 41}    9.475{txt}{col 50} {c |} {col 51}{res}   25.548{col 71}   25.548
{txt}{ralign 18:msecomb1}{col 19} {c |} {col 22}{res}    7.100{col 41}    7.100{txt}{col 50} {c |} {col 51}{res}   21.783{col 71}   21.783
{txt}{ralign 18:msecomb2}{col 19} {c |} {col 22}{res}    7.100{col 41}    8.658{txt}{col 50} {c |} {col 51}{res}   21.783{col 71}   23.363
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    5.453{col 41}    5.453{txt}{col 50} {c |} {col 51}{res}   21.783{col 71}   21.783
{txt}{ralign 18:certwo}{col 19} {c |} {col 22}{res}    5.300{col 41}    6.650{txt}{col 50} {c |} {col 51}{res}   20.061{col 71}   23.363
{txt}{ralign 18:cersum}{col 19} {c |} {col 22}{res}    7.277{col 41}    7.277{txt}{col 50} {c |} {col 51}{res}   25.548{col 71}   25.548
{txt}{ralign 18:cercomb1}{col 19} {c |} {col 22}{res}    5.453{col 41}    5.453{txt}{col 50} {c |} {col 51}{res}   21.783{col 71}   21.783
{txt}{ralign 18:cercomb2}{col 19} {c |} {col 22}{res}    5.453{col 41}    6.650{txt}{col 50} {c |} {col 51}{res}   21.783{col 71}   23.363
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Std. Err. adjusted for clusters in constituency

{com}. local h_MSE1=e(h_mserd)
{txt}
{com}. local h_CER1=e(h_cerrd)
{txt}
{com}. twoway (scatter rdplot_mean_y rdplot_mean_x if abs(rv)<=`h_CER2' & rv!=0 & country=="Denmark", plotregion(lcolor(black)) ylabel(, format(%3.2f) angle(0)) xlabel(#5, format(%3.2f)) msize(small) mcolor(gs6) xline(0, lcolor(gs12)) xtitle("Vote margin") ytitle("Elected t+1") legend(off) graphregion(color(white))) ///
>         (lfit runningnextelection rv if rv<0 & abs(rv)<=`h_CER1' & country=="Denmark", lcolor(red) lwidth(medthick) lpattern(--)) ///
>         (lfit runningnextelection rv if rv<0 & abs(rv)<=`h_MSE1' & country=="Denmark", lcolor(red) lwidth(medthick)) ///
>         (qfit runningnextelection rv if rv<0 & abs(rv)<=`h_CER2' & country=="Denmark", lcolor(blue) lwidth(thin) lpattern(--)) ///
>         (lfit runningnextelection rv if rv>0 & abs(rv)<=`h_CER1' & country=="Denmark", lcolor(red) lwidth(medthick) lpattern(--)) ///
>         (lfit runningnextelection rv if rv>0 & abs(rv)<=`h_MSE1' & country=="Denmark", lcolor(red) lwidth(medthick)) ///
>         (qfit runningnextelection rv if rv>0 & abs(rv)<=`h_CER2' & country=="Denmark", lcolor(blue) lwidth(thin) lpattern(--))
{res}{txt}
{com}. graph save "denmark_rerun_rdplot.gph", replace
{txt}{p 0 4 2}
(file {bf}
denmark_rerun_rdplot.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:denmark_rerun_rdplot.gph} saved

{com}. drop rdplot* n
{txt}
{com}. 
. ********************************************************************************
. 
. * Robustness to alternative bandwidths: Elected t + 1
. 
. cd "$dir/data"
{res}/Users/jaakko/Documents/PA_replication_package/data
{txt}
{com}. use "personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. quietly {c -(}
{txt}
{com}. 
. cd "$dir/data"
{res}/Users/jaakko/Documents/PA_replication_package/data
{txt}
{com}. use "personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. quietly {c -(}
{txt}
{com}. 
. * Robustness to alternative bandwidths: Running t + 1
. 
. cd "$dir/data"
{res}/Users/jaakko/Documents/PA_replication_package/data
{txt}
{com}. use "personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. quietly {c -(}
{txt}
{com}. 
. cd "$dir/data"
{res}/Users/jaakko/Documents/PA_replication_package/data
{txt}
{com}. use "personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. quietly {c -(}
{txt}
{com}. 
. ********************************************************************************
. 
. * Combine the graphs
. 
. graph combine "Brazil_rerun_rdplot.gph" "locallinear_Brazil_rerun_standard1.gph", graphregion(color(white)) cols(2) subtitle("Brazil", position(11))
{res}{txt}
{com}. graph save "Brazil_rerun.gph", replace
{txt}{p 0 4 2}
(file {bf}
Brazil_rerun.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:Brazil_rerun.gph} saved

{com}. graph combine "Denmark_rerun_rdplot.gph" "locallinear_Denmark_rerun_standard1.gph", graphregion(color(white)) cols(2) subtitle("Denmark", position(11))
{res}{txt}
{com}. graph save "Denmark_rerun.gph", replace
{txt}{p 0 4 2}
(file {bf}
Denmark_rerun.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:Denmark_rerun.gph} saved

{com}. 
. graph combine "Brazil_rerun.gph" "Denmark_rerun.gph", graphregion(color(white)) cols(1) xsize(3) ysize(2) subtitle("Panel A: Running t+1", position(11))
{res}{txt}
{com}. graph export "$dir/figures/figure_OA2A.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
/Users/jaakko/Documents/PA_replication_package/figures/figure_OA2A.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. graph combine "Brazil_elected_rdplot.gph" "locallinear_Brazil_standard1.gph", graphregion(color(white)) cols(2) subtitle("Brazil", position(11))
{res}{txt}
{com}. graph save "Brazil_elected.gph", replace
{txt}{p 0 4 2}
(file {bf}
Brazil_elected.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:Brazil_elected.gph} saved

{com}. graph combine "Denmark_elected_rdplot.gph" "locallinear_Denmark_standard1.gph", graphregion(color(white)) cols(2) subtitle("Denmark", position(11))
{res}{txt}
{com}. graph save "Denmark_elected.gph", replace
{txt}{p 0 4 2}
(file {bf}
Denmark_elected.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:Denmark_elected.gph} saved

{com}. 
. graph combine "Brazil_elected.gph" "Denmark_elected.gph", graphregion(color(white)) cols(1) xsize(3) ysize(2) subtitle("Panel B: Elected t+1", position(11))
{res}{txt}
{com}. graph export "$dir/figures/figure_OA2B.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
/Users/jaakko/Documents/PA_replication_package/figures/figure_OA2B.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. ********************************************************************************
. 
{txt}end of do-file

{com}. 
. * Online Appendix C
. 
. do "$dir/code/Table_OA3.do" // Table OA3
{txt}
{com}. clear all
{res}{txt}
{com}. 
. ********************************************************************************
. ********************************************************************************
. **** When Can We Trust Regression Discontinuity Design Estimates from Close ****
. *************** Elections? Evidence from Experimental Benchmarks ***************
. ********************************************************************************
. ********************************************************************************
. 
. * This file produces Table OA3 in Online Appendix C of De Magalhaes et al. 
. * (Political Analysis).
. 
. cd "$dir"
{res}/Users/jaakko/Documents/PA_replication_package
{txt}
{com}. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. ********************************************************************************
. 
. est clear
{txt}
{com}. 
. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    44763{col 34}    36158{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.067{col 34}    2.067
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.272{col 34}    6.272
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.330{col 34}    0.330
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .10845{col 33} .00699{col 43}15.5083{col 52}0.000{col 60} .094745{col 73} .122157
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .10521{col 33} .00699{col 43}15.0444{col 52}0.000{col 60}   .0915{col 73} .118913
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .10521{col 33} .00729{col 43}14.4245{col 52}0.000{col 60} .090911{col 73} .119502
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:80921}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}2.0668095
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}6.2724105
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   177424{col 34}    82947{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.692{col 34}    6.692
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   11.463{col 34}   11.463
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.584{col 34}    0.584
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11775{col 33} .00611{col 43}19.2668{col 52}0.000{col 60} .105771{col 73} .129727
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .11649{col 33} .00611{col 43}19.0610{col 52}0.000{col 60} .104513{col 73}  .12847
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .11649{col 33} .00658{col 43}17.7021{col 52}0.000{col 60} .103594{col 73} .129389
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:260371}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}6.6924171
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}11.463157
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26638{col 34}    23491{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.297{col 34}    1.297
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.272{col 34}    6.272
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.207{col 34}    0.207
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11035{col 33} .00882{col 43}12.5124{col 52}0.000{col 60} .093065{col 73} .127636
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .10905{col 33} .00882{col 43}12.3644{col 52}0.000{col 60}  .09176{col 73} .126331
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .10905{col 33} .00893{col 43}12.2115{col 52}0.000{col 60} .091543{col 73} .126547
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:50129}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}1.29713
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}6.2724105
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    92537{col 34}    60266{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.930{col 34}    3.930
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   11.463{col 34}   11.463
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.343{col 34}    0.343
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11145{col 33} .00756{col 43}14.7355{col 52}0.000{col 60} .096623{col 73} .126269
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .1112{col 33} .00756{col 43}14.7024{col 52}0.000{col 60} .096372{col 73} .126019
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .1112{col 33} .00766{col 43}14.5207{col 52}0.000{col 60} .096187{col 73} .126204
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:152803}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}3.9297383
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}11.463157
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/Table_OA3.tex", booktabs ///
> keep(Robust) nomtitles ///
> replace  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l b_l, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Main bandwidth" "Bias bandwidth")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead(\begin{c -(}tabular{c )-}{c -(}l*{c -(}5{c )-}{c -(}c{c )-}{c )-} \toprule) ///
> postfoot("") refcat(Robust "\textbf{c -(}Panel A:{c )-} Brazil", nolabel)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/tables/Table_OA3.tex{rm}
not found)
{p_end}
(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/Table_OA3.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27585{col 34}    18227{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.379{col 34}    4.379
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   10.866{col 34}   10.866
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.403{col 34}    0.403
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19899{col 33} .01078{col 43}18.4575{col 52}0.000{col 60} .177862{col 73} .220123
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .19481{col 33} .01078{col 43}18.0696{col 52}0.000{col 60}  .17368{col 73} .215941
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .19481{col 33} .01148{col 43}16.9622{col 52}0.000{col 60}   .1723{col 73}  .21732
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:45812}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}4.3792689
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}10.865731
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    60977{col 34}    27967{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    9.753{col 34}    9.753
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   17.713{col 34}   17.713
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.551{col 34}    0.551
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .1994{col 33} .01103{col 43}18.0767{col 52}0.000{col 60} .177781{col 73} .221021
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .19746{col 33} .01103{col 43}17.9004{col 52}0.000{col 60} .175836{col 73} .219076
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .19746{col 33} .01169{col 43}16.8975{col 52}0.000{col 60} .174553{col 73} .220359
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:88944}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}9.7533576
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}17.712827
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18147{col 34}    13568{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.980{col 34}    2.980
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   10.866{col 34}   10.866
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.274{col 34}    0.274
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19306{col 33} .01247{col 43}15.4865{col 52}0.000{col 60} .168627{col 73} .217494
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .19113{col 33} .01247{col 43}15.3320{col 52}0.000{col 60} .166701{col 73} .215568
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .19113{col 33} .01281{col 43}14.9209{col 52}0.000{col 60} .166028{col 73} .216241
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:31715}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}2.9803053
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}10.865731
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    40232{col 34}    22854{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.283{col 34}    6.283
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   17.713{col 34}   17.713
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.355{col 34}    0.355
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .18755{col 33} .01271{col 43}14.7559{col 52}0.000{col 60} .162638{col 73}  .21246
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .18701{col 33} .01271{col 43}14.7135{col 52}0.000{col 60} .162099{col 73} .211922
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .18701{col 33} .01292{col 43}14.4722{col 52}0.000{col 60} .161684{col 73} .212337
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:63086}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}6.2825509
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}17.712827
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/Table_OA3.tex", booktabs ///
> keep(Robust) nomtitles nonumbers ///
> append  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l b_l, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Main bandwidth" "Bias bandwidth")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead("") ///
> postfoot("")    refcat(Robust "\textbf{c -(}Panel B:{c )-} Colombia", nolabel)
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/Table_OA3.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5335{col 34}     2612{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.100{col 34}    7.100
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   21.783{col 34}   21.783
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.326{col 34}    0.326
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       97{col 34}       97

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .35474{col 33} .02176{col 43}16.3012{col 52}0.000{col 60} .312089{col 73} .397394
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .35122{col 33} .02176{col 43}16.1394{col 52}0.000{col 60} .308569{col 73} .393873
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .35122{col 33} .02255{col 43}15.5767{col 52}0.000{col 60} .307028{col 73} .395414
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est1{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:7947}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}7.1000373
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}21.782937
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5529{col 34}     2684{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.158{col 34}    8.158
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   18.716{col 34}   18.716
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.436{col 34}    0.436
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       97{col 34}       97

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .30869{col 33} .02509{col 43}12.3024{col 52}0.000{col 60} .259508{col 73} .357865
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .30507{col 33} .02509{col 43}12.1581{col 52}0.000{col 60} .255888{col 73} .354246
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .30507{col 33} .02555{col 43}11.9393{col 52}0.000{col 60} .254987{col 73} .355147
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est2{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:8213}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}8.1580213
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}18.716363
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4930{col 34}     2459{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.453{col 34}    5.453
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   21.783{col 34}   21.783
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.250{col 34}    0.250
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       97{col 34}       97

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .34599{col 33} .02278{col 43}15.1851{col 52}0.000{col 60} .301333{col 73} .390648
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .34368{col 33} .02278{col 43}15.0837{col 52}0.000{col 60} .299023{col 73} .388338
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .34368{col 33} .02333{col 43}14.7311{col 52}0.000{col 60} .297954{col 73} .389407
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est3{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:7389}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}5.4531548
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}21.782937
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5095{col 34}     2529{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.034{col 34}    6.034
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   18.716{col 34}   18.716
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.322{col 34}    0.322
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       97{col 34}       97

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .27483{col 33}  .0256{col 43}10.7349{col 52}0.000{col 60} .224649{col 73} .325004
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .27317{col 33}  .0256{col 43}10.6701{col 52}0.000{col 60} .222992{col 73} .323347
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .27317{col 33} .02575{col 43}10.6081{col 52}0.000{col 60} .222698{col 73}  .32364
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est4{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:7624}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}6.0339092
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}18.716363
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/Table_OA3.tex", booktabs ///
> keep(Robust) nomtitles nonumbers ///
> append  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l b_l, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Main bandwidth" "Bias bandwidth")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead("") ///
> postfoot("")    refcat(Robust "\textbf{c -(}Panel C:{c )-} Denmark", nolabel)
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/Table_OA3.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    34541{col 34}    16816{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.481{col 34}    1.481
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.140{col 34}    7.140
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.207{col 34}    0.207
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0266{col 33} .01144{col 43}2.3255{col 52}0.020{col 60} .004181{col 73} .049012
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02129{col 33} .01144{col 43}1.8613{col 52}0.063{col 60}-.001129{col 73} .043702
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02129{col 33} .01351{col 43}1.5752{col 52}0.115{col 60}  -.0052{col 73} .047773
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:51357}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}1.4809798
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}7.1396609
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    71641{col 34}    28920{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.499{col 34}    3.499
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   10.840{col 34}   10.840
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.323{col 34}    0.323
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02383{col 33}  .0112{col 43}2.1267{col 52}0.033{col 60} .001868{col 73} .045789
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02039{col 33}  .0112{col 43}1.8202{col 52}0.069{col 60}-.001566{col 73} .042355
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02039{col 33} .01246{col 43}1.6368{col 52}0.102{col 60}-.004027{col 73} .044816
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:100561}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}3.4991866
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}10.840475
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21670{col 34}    12731{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.055{col 34}    1.055
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.140{col 34}    7.140
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.148{col 34}    0.148
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00812{col 33} .01391{col 43}0.5836{col 52}0.559{col 60}-.019149{col 73} .035387
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0054{col 33} .01391{col 43}0.3884{col 52}0.698{col 60}-.021863{col 73} .032672
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0054{col 33} .01646{col 43}0.3283{col 52}0.743{col 60}-.026861{col 73} .037669
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:34401}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}1.0545802
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}7.1396609
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    56506{col 34}    23341{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.374{col 34}    2.374
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   10.840{col 34}   10.840
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.219{col 34}    0.219
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00031{col 33} .01352{col 43}-0.0230{col 52}0.982{col 60}-.026805{col 73} .026183
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00153{col 33} .01352{col 43}-0.1135{col 52}0.910{col 60}-.028029{col 73}  .02496
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00153{col 33} .01563{col 43}-0.0982{col 52}0.922{col 60}-.032168{col 73}   .0291
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:79847}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}2.3737257
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}10.840475
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/Table_OA3.tex", booktabs ///
> keep(Robust) nomtitles nonumbers ///
> append  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l b_l bandwidth polynomial, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Main bandwidth" "Bias bandwidth" "Bandwidth selector" "Polynomial")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead("") ///
> postfoot(\bottomrule \end{c -(}tabular{c )-})     refcat(Robust "\textbf{c -(}Panel D:{c )-} Finland", nolabel)
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/Table_OA3.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
{txt}end of do-file

{com}. 
. do "$dir/code/Table_OA4.do" // Table OA4
{txt}
{com}. clear all
{res}{txt}
{com}. 
. ********************************************************************************
. ********************************************************************************
. **** When Can We Trust Regression Discontinuity Design Estimates from Close ****
. *************** Elections? Evidence from Experimental Benchmarks ***************
. ********************************************************************************
. ********************************************************************************
. 
. * This file produces Table OA4 in Online Appendix C of De Magalhaes et al. 
. * (Political Analysis).
. 
. cd "$dir"
{res}/Users/jaakko/Documents/PA_replication_package
{txt}
{com}. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. ********************************************************************************
. 
. est clear
{txt}
{com}. 
. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31778{col 34}    27276{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.518{col 34}    1.518
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.617{col 34}    6.617
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.229{col 34}    0.229
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02522{col 33} .00766{col 43}-3.2920{col 52}0.001{col 60}-.040242{col 73}-.010207
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02904{col 33} .00766{col 43}-3.7899{col 52}0.000{col 60}-.044056{col 73}-.014021
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02904{col 33} .00779{col 43}-3.7298{col 52}0.000{col 60}-.044298{col 73}-.013779
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:59054}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}1.5179091
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}6.6170284
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   105095{col 34}    64891{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.369{col 34}    4.369
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   10.290{col 34}   10.290
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.425{col 34}    0.425
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02204{col 33} .00672{col 43}-3.2802{col 52}0.001{col 60}-.035207{col 73} -.00887
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02465{col 33} .00672{col 43}-3.6694{col 52}0.000{col 60}-.037822{col 73}-.011485
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02465{col 33}  .0069{col 43}-3.5709{col 52}0.000{col 60}-.038185{col 73}-.011122
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:169986}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}4.3689057
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}10.29017
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19133{col 34}    17359{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.953{col 34}    0.953
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.617{col 34}    6.617
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.144{col 34}    0.144
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04595{col 33} .00988{col 43}-4.6487{col 52}0.000{col 60}-.065326{col 73}-.026578
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0475{col 33} .00988{col 43}-4.8051{col 52}0.000{col 60}-.066872{col 73}-.028124
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0475{col 33} .00993{col 43}-4.7811{col 52}0.000{col 60} -.06697{col 73}-.028027
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:36492}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}.95264
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}6.6170284
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    56578{col 34}    43392{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.565{col 34}    2.565
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   10.290{col 34}   10.290
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.249{col 34}    0.249
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03555{col 33} .00894{col 43}-3.9774{col 52}0.000{col 60}-.053061{col 73}-.018029
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03608{col 33} .00894{col 43}-4.0373{col 52}0.000{col 60}-.053597{col 73}-.018565
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03608{col 33} .00897{col 43}-4.0226{col 52}0.000{col 60}-.053661{col 73}-.018501
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:99970}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}2.5653894
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}10.29017
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/Table_OA4.tex", booktabs ///
> keep(Robust) nomtitles ///
> replace  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l b_l, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Main bandwidth" "Bias bandwidth")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead(\begin{c -(}tabular{c )-}{c -(}l*{c -(}5{c )-}{c -(}c{c )-}{c )-} \toprule) ///
> postfoot("") refcat(Robust "\textbf{c -(}Panel A:{c )-} Brazil", nolabel)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/tables/Table_OA4.tex{rm}
not found)
{p_end}
(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/Table_OA4.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19957{col 34}    14569{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.245{col 34}    3.245
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   14.683{col 34}   14.683
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.221{col 34}    0.221
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05175{col 33} .00885{col 43}5.8470{col 52}0.000{col 60} .034401{col 73} .069094
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04755{col 33} .00885{col 43}5.3731{col 52}0.000{col 60} .030207{col 73}   .0649
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04755{col 33} .00903{col 43}5.2635{col 52}0.000{col 60} .029846{col 73} .065261
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:34526}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}3.2451569
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}14.682775
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    47276{col 34}    24887{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.375{col 34}    7.375
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   14.240{col 34}   14.240
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.518{col 34}    0.518
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04985{col 33} .00887{col 43}5.6192{col 52}0.000{col 60} .032463{col 73} .067239
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04716{col 33} .00887{col 43}5.3156{col 52}0.000{col 60}  .02977{col 73} .064546
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04716{col 33} .00942{col 43}5.0062{col 52}0.000{col 60} .028695{col 73}  .06562
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:72163}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}7.3750233
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}14.240188
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13079{col 34}    10539{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.208{col 34}    2.208
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   14.683{col 34}   14.683
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.150{col 34}    0.150
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04634{col 33} .01078{col 43}4.2975{col 52}0.000{col 60} .025203{col 73} .067467
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04432{col 33} .01078{col 43}4.1111{col 52}0.000{col 60} .023193{col 73} .065456
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04432{col 33}  .0109{col 43}4.0675{col 52}0.000{col 60} .022966{col 73} .065683
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:23618}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}2.208487
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}14.682775
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30045{col 34}    19257{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.751{col 34}    4.751
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   14.240{col 34}   14.240
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.334{col 34}    0.334
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03853{col 33} .01107{col 43}3.4814{col 52}0.000{col 60} .016837{col 73} .060216
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0378{col 33} .01107{col 43}3.4156{col 52}0.001{col 60} .016109{col 73} .059488
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0378{col 33} .01121{col 43}3.3728{col 52}0.001{col 60} .015833{col 73} .059763
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:49302}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}4.750565
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}14.240188
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/Table_OA4.tex", booktabs ///
> keep(Robust) nomtitles nonumbers ///
> append  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l b_l, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Main bandwidth" "Bias bandwidth")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead("") ///
> postfoot("")    refcat(Robust "\textbf{c -(}Panel B:{c )-} Colombia", nolabel)
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/Table_OA4.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4377{col 34}     2153{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.578{col 34}    3.578
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   14.002{col 34}   14.002
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.256{col 34}    0.256
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       96{col 34}       96

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .28811{col 33} .01941{col 43}14.8396{col 52}0.000{col 60} .250053{col 73} .326157
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .28102{col 33} .01941{col 43}14.4747{col 52}0.000{col 60}  .24297{col 73} .319074
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .28102{col 33} .02024{col 43}13.8830{col 52}0.000{col 60} .241348{col 73} .320696
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est1{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:6530}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}3.5779495
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}14.002151
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5196{col 34}     2561{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.436{col 34}    6.436
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   17.617{col 34}   17.617
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.365{col 34}    0.365
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       97{col 34}       97

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .25159{col 33} .02224{col 43}11.3148{col 52}0.000{col 60} .208012{col 73} .295174
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .24664{col 33} .02224{col 43}11.0919{col 52}0.000{col 60} .203054{col 73} .290216
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .24664{col 33}  .0227{col 43}10.8638{col 52}0.000{col 60} .202139{col 73} .291131
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est2{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:7757}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}6.4356191
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}17.617278
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3985{col 34}     1958{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.748{col 34}    2.748
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   14.002{col 34}   14.002
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.196{col 34}    0.196
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       96{col 34}       96

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .26914{col 33} .02162{col 43}12.4512{col 52}0.000{col 60} .226777{col 73}  .31151
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .26457{col 33} .02162{col 43}12.2396{col 52}0.000{col 60} .222204{col 73} .306936
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .26457{col 33} .02232{col 43}11.8510{col 52}0.000{col 60} .220814{col 73} .308325
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est3{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:5943}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}2.7480296
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}14.002151
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4735{col 34}     2346{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.760{col 34}    4.760
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   17.617{col 34}   17.617
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.270{col 34}    0.270
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       97{col 34}       97

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .22492{col 33}  .0239{col 43}9.4117{col 52}0.000{col 60} .178083{col 73} .271761
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .22263{col 33}  .0239{col 43}9.3158{col 52}0.000{col 60}  .17579{col 73} .269468
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .22263{col 33} .02431{col 43}9.1577{col 52}0.000{col 60} .174981{col 73} .270277
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est4{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:7081}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}4.7599706
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}17.617278
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/Table_OA4.tex", booktabs ///
> keep(Robust) nomtitles nonumbers ///
> append  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l b_l, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Main bandwidth" "Bias bandwidth")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead("") ///
> postfoot("")    refcat(Robust "\textbf{c -(}Panel C:{c )-} Denmark", nolabel)
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/Table_OA4.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18954{col 34}    11710{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.960{col 34}    0.960
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.541{col 34}    5.541
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.173{col 34}    0.173
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .07014{col 33} .01137{col 43}6.1691{col 52}0.000{col 60} .047859{col 73}  .09243
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .06418{col 33} .01137{col 43}5.6450{col 52}0.000{col 60} .041899{col 73}  .08647
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .06418{col 33} .01281{col 43}5.0095{col 52}0.000{col 60} .039073{col 73} .089297
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:30664}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}.96026538
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}5.5406649
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    70910{col 34}    28672{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.432{col 34}    3.432
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   13.239{col 34}   13.239
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.259{col 34}    0.259
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .1112{col 33} .01057{col 43}10.5213{col 52}0.000{col 60} .090485{col 73} .131915
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .10803{col 33} .01057{col 43}10.2210{col 52}0.000{col 60} .087312{col 73} .128742
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .10803{col 33} .01047{col 43}10.3159{col 52}0.000{col 60} .087502{col 73} .128551
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:99582}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}3.4322418
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}13.239208
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11826{col 34}     8524{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.684{col 34}    0.684
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.541{col 34}    5.541
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.123{col 34}    0.123
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05613{col 33}  .0143{col 43}3.9245{col 52}0.000{col 60} .028096{col 73} .084157
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05303{col 33}  .0143{col 43}3.7078{col 52}0.000{col 60} .024997{col 73} .081058
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05303{col 33} .01607{col 43}3.2990{col 52}0.001{col 60} .021523{col 73} .084532
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:20350}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}.68378847
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}5.5406649
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    55717{col 34}    23090{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.328{col 34}    2.328
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   13.239{col 34}   13.239
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.176{col 34}    0.176
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .06654{col 33} .01148{col 43}5.7963{col 52}0.000{col 60} .044041{col 73} .089041
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .06541{col 33} .01148{col 43}5.6977{col 52}0.000{col 60} .042908{col 73} .087909
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .06541{col 33} .01302{col 43}5.0253{col 52}0.000{col 60} .039898{col 73} .090919
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:78807}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}2.3283127
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}13.239208
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/Table_OA4.tex", booktabs ///
> keep(Robust) nomtitles nonumbers ///
> append  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l b_l bandwidth polynomial, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Main bandwidth" "Bias bandwidth" "Bandwidth selector" "Polynomial")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead("") ///
> postfoot(\bottomrule \end{c -(}tabular{c )-})     refcat(Robust "\textbf{c -(}Panel D:{c )-} Finland", nolabel)
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/Table_OA4.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. ********************************************************************************
. 
{txt}end of do-file

{com}. 
. do "$dir/code/Figure_OA3.do" // Figure OA3
{txt}
{com}. clear all
{res}{txt}
{com}. 
. ********************************************************************************
. ********************************************************************************
. **** When Can We Trust Regression Discontinuity Design Estimates from Close ****
. *************** Elections? Evidence from Experimental Benchmarks ***************
. ********************************************************************************
. ********************************************************************************
. 
. * This file produces Figure OA3 in Online Appendix C of De Magalhaes et al. 
. * (Political Analysis).
. 
. cd "$dir"
{res}/Users/jaakko/Documents/PA_replication_package
{txt}
{com}. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. ********************************************************************************
. 
. est clear
{txt}
{com}. 
. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) all vce(cluster constituency) bwselect(mserd) kernel(triangular) rho(0.85)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    57420{col 34}    43929{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.601{col 34}    2.601
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.060{col 34}    3.060
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.850{col 34}    0.850
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5560{col 34}     5559

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11143{col 33} .00681{col 43}16.3617{col 52}0.000{col 60} .098079{col 73} .124775
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0994{col 33} .00681{col 43}14.5950{col 52}0.000{col 60} .086048{col 73} .112743
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0994{col 33} .00912{col 43}10.9011{col 52}0.000{col 60} .081525{col 73} .117266
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) all vce(cluster constituency) bwselect(mserd) kernel(uniform) rho(1)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    44763{col 34}    36158{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.067{col 34}    2.067
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.067{col 34}    2.067
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5549{col 34}     5549

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .10845{col 33} .00699{col 43}15.5082{col 52}0.000{col 60} .094745{col 73} .122157
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .10413{col 33} .00699{col 43}14.8909{col 52}0.000{col 60} .090428{col 73} .117841
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .10413{col 33} .01062{col 43}9.8062{col 52}0.000{col 60} .083321{col 73} .124948
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) all vce(cluster constituency) bwselect(mserd) kernel(epanechnikov) rho(0.898)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    54257{col 34}    42045{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.468{col 34}    2.468
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.749{col 34}    2.749
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.898{col 34}    0.898
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5559{col 34}     5558

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11149{col 33} .00679{col 43}16.4278{col 52}0.000{col 60} .098191{col 73} .124795
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .09854{col 33} .00679{col 43}14.5186{col 52}0.000{col 60} .085233{col 73} .111837
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .09854{col 33} .00947{col 43}10.4033{col 52}0.000{col 60} .079971{col 73} .117099
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(triangular) rho(0.850)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    34406{col 34}    29172{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.632{col 34}    1.632
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.920{col 34}    1.920
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.850{col 34}    0.850
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5539{col 34}     5538

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .10693{col 33} .00854{col 43}12.5208{col 52}0.000{col 60} .090193{col 73}  .12367
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .10363{col 33} .00854{col 43}12.1341{col 52}0.000{col 60}  .08689{col 73} .120368
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .10363{col 33} .01152{col 43}8.9981{col 52}0.000{col 60} .081057{col 73} .126202
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(uniform) rho(1)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26638{col 34}    23491{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.297{col 34}    1.297
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.297{col 34}    1.297
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5435{col 34}     5432

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11035{col 33} .00882{col 43}12.5122{col 52}0.000{col 60} .093065{col 73} .127636
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .09583{col 33} .00882{col 43}10.8659{col 52}0.000{col 60} .078546{col 73} .113117
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .09583{col 33} .01352{col 43}7.0859{col 52}0.000{col 60} .069324{col 73} .122338
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est5{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(epanechnikov) rho(0.898)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    32509{col 34}    27788{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.549{col 34}    1.549
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.725{col 34}    1.725
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.898{col 34}    0.898
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5523{col 34}     5523

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .10817{col 33} .00852{col 43}12.6920{col 52}0.000{col 60} .091468{col 73} .124878
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .10338{col 33} .00852{col 43}12.1295{col 52}0.000{col 60} .086674{col 73} .120083
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .10338{col 33} .01195{col 43}8.6529{col 52}0.000{col 60} .079963{col 73} .126795
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est6{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) all vce(cluster constituency) bwselect(mserd) kernel(triangular) rho(0.887)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   223658{col 34}    90086{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.095{col 34}    8.095
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    9.126{col 34}    9.126
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.887{col 34}    0.887
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11568{col 33} .00591{col 43}19.5898{col 52}0.000{col 60} .104108{col 73} .127256
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .11379{col 33} .00591{col 43}19.2700{col 52}0.000{col 60}  .10222{col 73} .125368
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .11379{col 33} .00702{col 43}16.2024{col 52}0.000{col 60} .100028{col 73} .127559
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est7{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) all vce(cluster constituency) bwselect(mserd) kernel(uniform) rho(1)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   177424{col 34}    82947{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.692{col 34}    6.692
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.692{col 34}    6.692
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11775{col 33} .00611{col 43}19.2667{col 52}0.000{col 60} .105771{col 73} .129727
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .11148{col 33} .00611{col 43}18.2412{col 52}0.000{col 60} .099503{col 73}  .12346
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .11148{col 33} .00777{col 43}14.3552{col 52}0.000{col 60} .096261{col 73} .126702
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est8{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) all vce(cluster constituency) bwselect(mserd) kernel(epanechnikov) rho(0.924)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   215171{col 34}    88958{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.839{col 34}    7.839
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.483{col 34}    8.483
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.924{col 34}    0.924
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11629{col 33}  .0059{col 43}19.7124{col 52}0.000{col 60} .104724{col 73} .127848
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .11503{col 33}  .0059{col 43}19.4997{col 52}0.000{col 60}  .10347{col 73} .126594
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .11503{col 33} .00716{col 43}16.0699{col 52}0.000{col 60} .101002{col 73} .129062
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est9{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(triangular) rho(0.887)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   116180{col 34}    68548{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.753{col 34}    4.753
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.359{col 34}    5.359
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.887{col 34}    0.887
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11035{col 33} .00736{col 43}14.9963{col 52}0.000{col 60} .095925{col 73} .124768
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .10159{col 33} .00736{col 43}13.8068{col 52}0.000{col 60} .087171{col 73} .116015
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .10159{col 33} .00912{col 43}11.1444{col 52}0.000{col 60} .083726{col 73}  .11946
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est10{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(uniform) rho(1)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    92537{col 34}    60266{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.930{col 34}    3.930
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.930{col 34}    3.930
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5560

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11145{col 33} .00756{col 43}14.7354{col 52}0.000{col 60} .096623{col 73} .126269
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .09482{col 33} .00756{col 43}12.5366{col 52}0.000{col 60} .079993{col 73}  .10964
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .09482{col 33} .01037{col 43}9.1452{col 52}0.000{col 60} .074496{col 73} .115137
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est11{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(epanechnikov) rho(0.924)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   111756{col 34}    67120{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.603{col 34}    4.603
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.981{col 34}    4.981
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.924{col 34}    0.924
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11131{col 33} .00731{col 43}15.2317{col 52}0.000{col 60} .096988{col 73} .125635
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .09958{col 33} .00731{col 43}13.6257{col 52}0.000{col 60} .085252{col 73} .113898
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .09958{col 33} .00937{col 43}10.6264{col 52}0.000{col 60} .081209{col 73} .117941
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est12{txt} stored)

{com}. 
. coefplot (est1, msymbol(triangle) mcolor(black) keep(Conventional Robust)) ///
>         (est2, msymbol(square) mcolor(black) keep(Conventional Robust)) ///
>         (est3, msymbol(circle) mcolor(black) keep(Conventional Robust)) ///
>         (est4, msymbol(triangle) mlcolor(black) mfcolor(white) keep(Conventional Robust)) ///
>         (est5, msymbol(square) mlcolor(black) mfcolor(white) keep(Conventional Robust)) ///
>         (est6, msymbol(circle) mlcolor(black) mfcolor(white) keep(Conventional Robust)) ///
>         (est7, msymbol(triangle) mcolor(gs12) keep(Conventional Robust)) ///
>         (est8, msymbol(square) mcolor(gs12) keep(Conventional Robust)) ///
>         (est9, msymbol(circle) mcolor(gs12) keep(Conventional Robust)) ///
>         (est10, msymbol(triangle) mlcolor(gs12) mfcolor(white) keep(Conventional Robust)) ///
>         (est11, msymbol(square) mlcolor(gs12) mfcolor(white) keep(Conventional Robust)) ///
>         (est12, msymbol(circle) mlcolor(gs12) mfcolor(white) keep(Conventional Robust)), ///
>         vertical scheme(sj) graphregion(color(white)) plotregion(lcolor(black)) ylabel(,format(%9.2f) angle(0)) ytitle("Point estimate") ///
>         yline(0) xsize(16) ysize(9) ciopts(recast(rcap) color(black)) legend(label(2 "p = 1, MSE, triangular") label(4 "p = 1, MSE, uniform") ///
>         label(6 "p = 1, MSE, epanechnikov") label(8 "p = 1, CER, triangular") ///
>         label(10 "p = 1, CER, uniform") label(12 "p = 1, CER, epanechnikov") ///
>         label(14 "p = 2, MSE, triangular") label(16 "p = 2, MSE, uniform") ///
>         label(18 "p = 2, MSE, epanechnikov") label(20 "p = 2, CER, triangular") ///
>         label(22 "p = 2, CER, uniform") label(24 "p = 2, CER, epanechnikov") cols(4)) ///
>         subtitle("Panel A: Brazil", position(11))
{res}{txt}
{com}. 
. graph save "$dir/temp/brazil_figureA3.gph", replace
{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/brazil_figureA3.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/brazil_figureA3.gph} saved

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) all vce(cluster constituency) bwselect(mserd) kernel(triangular) rho(0.85)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    33580{col 34}    20589{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.274{col 34}    5.274
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.205{col 34}    6.205
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.850{col 34}    0.850
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19796{col 33} .01072{col 43}18.4658{col 52}0.000{col 60} .176946{col 73} .218968
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .1884{col 33} .01072{col 43}17.5747{col 52}0.000{col 60} .167393{col 73} .209415
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .1884{col 33} .01348{col 43}13.9724{col 52}0.000{col 60} .161976{col 73} .214832
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) all vce(cluster constituency) bwselect(mserd) kernel(uniform) rho(1)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27585{col 34}    18227{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.379{col 34}    4.379
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.379{col 34}    4.379
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19899{col 33} .01078{col 43}18.4573{col 52}0.000{col 60} .177861{col 73} .220123
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .1892{col 33} .01078{col 43}17.5490{col 52}0.000{col 60} .168068{col 73}  .21033
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .1892{col 33} .01502{col 43}12.5984{col 52}0.000{col 60} .159765{col 73} .218633
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) all vce(cluster constituency) bwselect(mserd) kernel(epanechnikov) rho(0.898)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31803{col 34}    19954{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.023{col 34}    5.023
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.593{col 34}    5.593
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.898{col 34}    0.898
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19803{col 33} .01067{col 43}18.5637{col 52}0.000{col 60} .177123{col 73} .218939
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .1885{col 33} .01067{col 43}17.6707{col 52}0.000{col 60} .167596{col 73} .209413
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .1885{col 33} .01387{col 43}13.5944{col 52}0.000{col 60} .161327{col 73} .215682
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) all vce(cluster constituency) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    22273{col 34}    15738{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.589{col 34}    3.589
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   11.377{col 34}   11.377
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.315{col 34}    0.315
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19337{col 33} .01236{col 43}15.6434{col 52}0.000{col 60} .169146{col 73} .217602
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .19146{col 33} .01236{col 43}15.4887{col 52}0.000{col 60} .167234{col 73} .215689
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .19146{col 33} .01282{col 43}14.9386{col 52}0.000{col 60} .166342{col 73} .216582
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(uniform) rho(1)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18147{col 34}    13568{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.980{col 34}    2.980
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.980{col 34}    2.980
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1097

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19306{col 33} .01247{col 43}15.4862{col 52}0.000{col 60} .168626{col 73} .217495
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .18939{col 33} .01247{col 43}15.1919{col 52}0.000{col 60} .164957{col 73} .213826
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .18939{col 33} .01809{col 43}10.4674{col 52}0.000{col 60} .153929{col 73} .224854
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est5{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(epanechnikov) rho(0.898)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21111{col 34}    15168{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.418{col 34}    3.418
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.807{col 34}    3.807
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.898{col 34}    0.898
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19401{col 33} .01229{col 43}15.7820{col 52}0.000{col 60} .169915{col 73} .218102
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .18987{col 33} .01229{col 43}15.4456{col 52}0.000{col 60}  .16578{col 73} .213968
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .18987{col 33} .01658{col 43}11.4543{col 52}0.000{col 60} .157384{col 73} .222364
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est6{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) all vce(cluster constituency) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    70701{col 34}    29641{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   11.702{col 34}   11.702
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   18.789{col 34}   18.789
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.623{col 34}    0.623
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19758{col 33} .01091{col 43}18.1089{col 52}0.000{col 60} .176198{col 73} .218967
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .19619{col 33} .01091{col 43}17.9810{col 52}0.000{col 60} .174802{col 73} .217571
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .19619{col 33} .01167{col 43}16.8088{col 52}0.000{col 60}  .17331{col 73} .219063
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est7{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) all vce(cluster constituency) bwselect(mserd) kernel(uniform) rho(1)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    60977{col 34}    27967{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    9.753{col 34}    9.753
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    9.753{col 34}    9.753
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .1994{col 33} .01103{col 43}18.0766{col 52}0.000{col 60} .177781{col 73} .221021
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .19181{col 33} .01103{col 43}17.3884{col 52}0.000{col 60} .170189{col 73} .213429
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .19181{col 33} .01371{col 43}13.9939{col 52}0.000{col 60} .164945{col 73} .218674
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est8{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) all vce(cluster constituency) bwselect(mserd) kernel(epanechnikov) rho(0.924)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    68584{col 34}    29297{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   11.250{col 34}   11.250
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   12.176{col 34}   12.176
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.924{col 34}    0.924
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19858{col 33} .01088{col 43}18.2504{col 52}0.000{col 60}  .17725{col 73} .219902
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .19485{col 33} .01088{col 43}17.9079{col 52}0.000{col 60} .173524{col 73} .216175
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .19485{col 33} .01291{col 43}15.0922{col 52}0.000{col 60} .169545{col 73} .220154
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est9{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) all vce(cluster constituency) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    48267{col 34}    25163{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.538{col 34}    7.538
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   18.789{col 34}   18.789
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.401{col 34}    0.401
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19026{col 33} .01259{col 43}15.1069{col 52}0.000{col 60} .165574{col 73} .214942
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .18992{col 33} .01259{col 43}15.0801{col 52}0.000{col 60} .165236{col 73} .214604
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .18992{col 33} .01288{col 43}14.7436{col 52}0.000{col 60} .164673{col 73} .215167
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est10{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(uniform) rho(1)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    40232{col 34}    22854{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.283{col 34}    6.283
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.283{col 34}    6.283
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .18755{col 33} .01271{col 43}14.7557{col 52}0.000{col 60} .162637{col 73} .212461
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .18963{col 33} .01271{col 43}14.9196{col 52}0.000{col 60}  .16472{col 73} .214543
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .18963{col 33} .01688{col 43}11.2365{col 52}0.000{col 60} .156554{col 73} .222709
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est11{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(epanechnikov) rho(0.924)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    46463{col 34}    24685{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.247{col 34}    7.247
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.843{col 34}    7.843
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.924{col 34}    0.924
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19005{col 33} .01252{col 43}15.1843{col 52}0.000{col 60} .165522{col 73} .214585
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .1859{col 33} .01252{col 43}14.8525{col 52}0.000{col 60} .161369{col 73} .210433
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .1859{col 33}  .0154{col 43}12.0720{col 52}0.000{col 60} .155719{col 73} .216083
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est12{txt} stored)

{com}. 
. coefplot (est1, msymbol(triangle) mcolor(black) keep(Conventional Robust)) ///
>         (est2, msymbol(square) mcolor(black) keep(Conventional Robust)) ///
>         (est3, msymbol(circle) mcolor(black) keep(Conventional Robust)) ///
>         (est4, msymbol(triangle) mlcolor(black) mfcolor(white) keep(Conventional Robust)) ///
>         (est5, msymbol(square) mlcolor(black) mfcolor(white) keep(Conventional Robust)) ///
>         (est6, msymbol(circle) mlcolor(black) mfcolor(white) keep(Conventional Robust)) ///
>         (est7, msymbol(triangle) mcolor(gs12) keep(Conventional Robust)) ///
>         (est8, msymbol(square) mcolor(gs12) keep(Conventional Robust)) ///
>         (est9, msymbol(circle) mcolor(gs12) keep(Conventional Robust)) ///
>         (est10, msymbol(triangle) mlcolor(gs12) mfcolor(white) keep(Conventional Robust)) ///
>         (est11, msymbol(square) mlcolor(gs12) mfcolor(white) keep(Conventional Robust)) ///
>         (est12, msymbol(circle) mlcolor(gs12) mfcolor(white) keep(Conventional Robust)), ///
>         vertical scheme(sj) graphregion(color(white)) plotregion(lcolor(black)) ylabel(,format(%9.2f) angle(0)) ytitle("Point estimate") ///
>         yline(0) xsize(16) ysize(9) ciopts(recast(rcap) color(black)) legend(label(2 "p = 1, MSE, triangular") label(4 "p = 1, MSE, uniform") ///
>         label(6 "p = 1, MSE, epanechnikov") label(8 "p = 1, CER, triangular") ///
>         label(10 "p = 1, CER, uniform") label(12 "p = 1, CER, epanechnikov") ///
>         label(14 "p = 2, MSE, triangular") label(16 "p = 2, MSE, uniform") ///
>         label(18 "p = 2, MSE, epanechnikov") label(20 "p = 2, CER, triangular") ///
>         label(22 "p = 2, CER, uniform") label(24 "p = 2, CER, epanechnikov") cols(4)) ///
>         subtitle("Panel B: Colombia", position(11))
{res}{txt}
{com}. 
. graph save "$dir/temp/colombia_figureA3.gph", replace
{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/colombia_figureA3.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/colombia_figureA3.gph} saved

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) all vce(cluster constituency) bwselect(mserd) kernel(triangular) rho(0.85)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5496{col 34}     2669{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.940{col 34}    7.940
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    9.341{col 34}    9.341
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.850{col 34}    0.850
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       95

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .33946{col 33} .02156{col 43}15.7417{col 52}0.000{col 60} .297194{col 73} .381725
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .29909{col 33} .02156{col 43}13.8697{col 52}0.000{col 60} .256825{col 73} .341356
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .29909{col 33} .02449{col 43}12.2137{col 52}0.000{col 60} .251095{col 73} .347087
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est1{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) all vce(cluster constituency) bwselect(mserd) kernel(uniform) rho(1)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5335{col 34}     2612{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.100{col 34}    7.100
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.100{col 34}    7.100
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       95

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .35474{col 33} .02176{col 43}16.2989{col 52}0.000{col 60} .312083{col 73}   .3974
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .29965{col 33} .02176{col 43}13.7677{col 52}0.000{col 60} .256992{col 73} .342308
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .29965{col 33}  .0253{col 43}11.8436{col 52}0.000{col 60} .250062{col 73} .349238
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est2{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) all vce(cluster constituency) bwselect(mserd) kernel(epanechnikov) rho(0.898)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5504{col 34}     2675{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.000{col 34}    8.000
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.908{col 34}    8.908
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.898{col 34}    0.898
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       95

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .34938{col 33} .02166{col 43}16.1327{col 52}0.000{col 60} .306935{col 73} .391827
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}   .305{col 33} .02166{col 43}14.0832{col 52}0.000{col 60} .262549{col 73} .347442
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}   .305{col 33} .02469{col 43}12.3532{col 52}0.000{col 60} .256605{col 73} .353387
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est3{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(triangular) rho(0.850)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5116{col 34}     2535{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.098{col 34}    6.098
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.174{col 34}    7.174
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.850{col 34}    0.850
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       95

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .32297{col 33} .02215{col 43}14.5813{col 52}0.000{col 60} .279561{col 73} .366386
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .2717{col 33} .02215{col 43}12.2665{col 52}0.000{col 60} .228288{col 73} .315114
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .2717{col 33} .02528{col 43}10.7487{col 52}0.000{col 60} .222158{col 73} .321244
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est4{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(uniform) rho(1)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4930{col 34}     2459{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.453{col 34}    5.453
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.453{col 34}    5.453
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .34599{col 33} .02279{col 43}15.1802{col 52}0.000{col 60} .301318{col 73} .390662
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .26636{col 33} .02279{col 43}11.6862{col 52}0.000{col 60} .221683{col 73} .311027
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .26636{col 33} .02591{col 43}10.2816{col 52}0.000{col 60}  .21558{col 73}  .31713
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est5{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(epanechnikov) rho(0.898)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5123{col 34}     2542{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.144{col 34}    6.144
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.842{col 34}    6.842
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.898{col 34}    0.898
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       94{col 34}       94

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .33564{col 33} .02221{col 43}15.1137{col 52}0.000{col 60} .292111{col 73} .379162
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .2779{col 33} .02221{col 43}12.5138{col 52}0.000{col 60} .234374{col 73} .321425
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .2779{col 33} .02525{col 43}11.0047{col 52}0.000{col 60} .228405{col 73} .327394
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est6{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) all vce(cluster constituency) bwselect(mserd) kernel(triangular) rho(0.887)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5834{col 34}     2769{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    9.793{col 34}    9.793
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   11.041{col 34}   11.041
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.887{col 34}    0.887
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       96{col 34}       96

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .29937{col 33} .02427{col 43}12.3362{col 52}0.000{col 60} .251807{col 73} .346935
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .25672{col 33} .02427{col 43}10.5787{col 52}0.000{col 60} .209158{col 73} .304286
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .25672{col 33} .02669{col 43}9.6178{col 52}0.000{col 60} .204405{col 73} .309038
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est7{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) all vce(cluster constituency) bwselect(mserd) kernel(uniform) rho(1)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5529{col 34}     2684{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.158{col 34}    8.158
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.158{col 34}    8.158
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       95

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .30869{col 33}  .0251{col 43}12.3005{col 52}0.000{col 60}   .2595{col 73} .357872
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .24235{col 33}  .0251{col 43}9.6571{col 52}0.000{col 60} .193163{col 73} .291535
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .24235{col 33} .02782{col 43}8.7117{col 52}0.000{col 60} .187825{col 73} .296873
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est8{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) all vce(cluster constituency) bwselect(mserd) kernel(epanechnikov) rho(0.924)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5837{col 34}     2769{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    9.808{col 34}    9.808
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   10.615{col 34}   10.615
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.924{col 34}    0.924
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       96{col 34}       96

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .31102{col 33} .02432{col 43}12.7901{col 52}0.000{col 60} .263363{col 73} .358685
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .26151{col 33} .02432{col 43}10.7541{col 52}0.000{col 60} .213851{col 73} .309174
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .26151{col 33} .02674{col 43}9.7796{col 52}0.000{col 60} .209102{col 73} .313923
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est9{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(triangular) rho(0.887)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5361{col 34}     2624{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.244{col 34}    7.244
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.166{col 34}    8.166
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.887{col 34}    0.887
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       95

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .26753{col 33} .02536{col 43}10.5476{col 52}0.000{col 60} .217821{col 73} .317248
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .21925{col 33} .02536{col 43}8.6442{col 52}0.000{col 60} .169541{col 73} .268967
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .21925{col 33} .02931{col 43}7.4799{col 52}0.000{col 60} .161802{col 73} .276706
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est10{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(uniform) rho(1)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5095{col 34}     2529{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.034{col 34}    6.034
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.034{col 34}    6.034
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .27483{col 33} .02561{col 43}10.7312{col 52}0.000{col 60} .224632{col 73} .325021
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .21015{col 33} .02561{col 43}8.2057{col 52}0.000{col 60} .159953{col 73} .260343
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .21015{col 33} .03218{col 43}6.5296{col 52}0.000{col 60} .147069{col 73} .273227
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est11{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(epanechnikov) rho(0.924)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5367{col 34}     2624{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.254{col 34}    7.254
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.851{col 34}    7.851
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.924{col 34}    0.924
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       95

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .27919{col 33} .02513{col 43}11.1114{col 52}0.000{col 60} .229941{col 73} .328434
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .22253{col 33} .02513{col 43}8.8564{col 52}0.000{col 60} .173281{col 73} .271774
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .22253{col 33} .02949{col 43}7.5459{col 52}0.000{col 60} .164728{col 73} .280327
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est12{txt} stored)

{com}. 
. coefplot (est1, msymbol(triangle) mcolor(black) keep(Conventional Robust)) ///
>         (est2, msymbol(square) mcolor(black) keep(Conventional Robust)) ///
>         (est3, msymbol(circle) mcolor(black) keep(Conventional Robust)) ///
>         (est4, msymbol(triangle) mlcolor(black) mfcolor(white) keep(Conventional Robust)) ///
>         (est5, msymbol(square) mlcolor(black) mfcolor(white) keep(Conventional Robust)) ///
>         (est6, msymbol(circle) mlcolor(black) mfcolor(white) keep(Conventional Robust)) ///
>         (est7, msymbol(triangle) mcolor(gs12) keep(Conventional Robust)) ///
>         (est8, msymbol(square) mcolor(gs12) keep(Conventional Robust)) ///
>         (est9, msymbol(circle) mcolor(gs12) keep(Conventional Robust)) ///
>         (est10, msymbol(triangle) mlcolor(gs12) mfcolor(white) keep(Conventional Robust)) ///
>         (est11, msymbol(square) mlcolor(gs12) mfcolor(white) keep(Conventional Robust)) ///
>         (est12, msymbol(circle) mlcolor(gs12) mfcolor(white) keep(Conventional Robust)), ///
>         vertical scheme(sj) graphregion(color(white)) plotregion(lcolor(black)) ylabel(,format(%9.2f) angle(0)) ytitle("Point estimate") ///
>         xsize(16) ysize(9) ciopts(recast(rcap) color(black)) legend(label(2 "p = 1, MSE, triangular") label(4 "p = 1, MSE, uniform") ///
>         label(6 "p = 1, MSE, epanechnikov") label(8 "p = 1, CER, triangular") ///
>         label(10 "p = 1, CER, uniform") label(12 "p = 1, CER, epanechnikov") ///
>         label(14 "p = 2, MSE, triangular") label(16 "p = 2, MSE, uniform") ///
>         label(18 "p = 2, MSE, epanechnikov") label(20 "p = 2, CER, triangular") ///
>         label(22 "p = 2, CER, uniform") label(24 "p = 2, CER, epanechnikov") cols(4)) ///
>         subtitle("Panel C: Denmark", position(11))
{res}{txt}
{com}. 
. graph save "$dir/temp/denmark_figureA3.gph", replace
{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/denmark_figureA3.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/denmark_figureA3.gph} saved

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) all vce(cluster constituency) bwselect(mserd) kernel(triangular) rho(0.85)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    34175{col 34}    16712{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.468{col 34}    1.468
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.728{col 34}    1.728
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.850{col 34}    0.850
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01478{col 33} .01234{col 43}1.1976{col 52}0.231{col 60}-.009406{col 73} .038959
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01239{col 33} .01234{col 43}-1.0041{col 52}0.315{col 60}-.036572{col 73} .011794
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01239{col 33} .01767{col 43}-0.7013{col 52}0.483{col 60}-.047013{col 73} .022235
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) all vce(cluster constituency) bwselect(mserd) kernel(uniform) rho(1)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    34541{col 34}    16816{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.481{col 34}    1.481
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.481{col 34}    1.481
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0266{col 33} .01144{col 43}2.3255{col 52}0.020{col 60} .004181{col 73} .049012
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0041{col 33} .01144{col 43}-0.3584{col 52}0.720{col 60}-.026515{col 73} .018317
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0041{col 33} .01854{col 43}-0.2211{col 52}0.825{col 60}-.040436{col 73} .032237
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) all vce(cluster constituency) bwselect(mserd) kernel(epanechnikov) rho(0.898)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    34286{col 34}    16739{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.472{col 34}    1.472
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.640{col 34}    1.640
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.898{col 34}    0.898
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02038{col 33} .01197{col 43}1.7018{col 52}0.089{col 60}-.003091{col 73} .043843
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00995{col 33} .01197{col 43}-0.8310{col 52}0.406{col 60}-.033417{col 73} .013517
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00995{col 33} .01805{col 43}-0.5511{col 52}0.582{col 60}-.045336{col 73} .025437
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(triangular) rho(0.850)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21393{col 34}    12627{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.046{col 34}    1.046
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.230{col 34}    1.230
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.850{col 34}    0.850
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00409{col 33} .01494{col 43}-0.2736{col 52}0.784{col 60}-.033381{col 73} .025203
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03273{col 33} .01494{col 43}-2.1901{col 52}0.029{col 60}-.062023{col 73}-.003439
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03273{col 33} .01981{col 43}-1.6519{col 52}0.099{col 60}-.071566{col 73} .006104
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(uniform) rho(1)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21670{col 34}    12731{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.055{col 34}    1.055
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.055{col 34}    1.055
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00812{col 33} .01391{col 43}0.5836{col 52}0.560{col 60}-.019149{col 73} .035387
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  -.024{col 33} .01391{col 43}-1.7248{col 52}0.085{col 60}-.051265{col 73} .003271
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  -.024{col 33}  .0201{col 43}-1.1940{col 52}0.232{col 60} -.06339{col 73} .015396
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est5{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(epanechnikov) rho(0.898)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21465{col 34}    12661{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.048{col 34}    1.048
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.167{col 34}    1.167
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.898{col 34}    0.898
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00061{col 33} .01474{col 43}0.0415{col 52}0.967{col 60} -.02827{col 73} .029492
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03097{col 33} .01474{col 43}-2.1018{col 52}0.036{col 60}-.059852{col 73} -.00209
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03097{col 33} .01985{col 43}-1.5599{col 52}0.119{col 60}-.069885{col 73} .007943
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est6{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) all vce(cluster constituency) bwselect(mserd) kernel(triangular) rho(0.887)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    71046{col 34}    28726{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.442{col 34}    3.442
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.881{col 34}    3.881
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.887{col 34}    0.887
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00496{col 33} .01205{col 43}0.4117{col 52}0.681{col 60}-.018664{col 73}  .02859
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0174{col 33} .01205{col 43}-1.4436{col 52}0.149{col 60}-.041029{col 73} .006225
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0174{col 33} .01523{col 43}-1.1423{col 52}0.253{col 60}-.047258{col 73} .012455
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est7{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) all vce(cluster constituency) bwselect(mserd) kernel(uniform) rho(1)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    71641{col 34}    28920{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.499{col 34}    3.499
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.499{col 34}    3.499
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02383{col 33}  .0112{col 43}2.1266{col 52}0.033{col 60} .001868{col 73}  .04579
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0196{col 33}  .0112{col 43}-1.7495{col 52}0.080{col 60}-.041564{col 73} .002358
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0196{col 33} .01507{col 43}-1.3007{col 52}0.193{col 60}-.049141{col 73} .009935
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est8{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) all vce(cluster constituency) bwselect(mserd) kernel(epanechnikov) rho(0.924)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    71292{col 34}    28808{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.466{col 34}    3.466
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.752{col 34}    3.752
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.924{col 34}    0.924
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0088{col 33}  .0118{col 43}0.7459{col 52}0.456{col 60}-.014322{col 73} .031919
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01761{col 33}  .0118{col 43}-1.4930{col 52}0.135{col 60}-.040732{col 73} .005509
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01761{col 33} .01517{col 43}-1.1606{col 52}0.246{col 60}-.047353{col 73} .012129
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est9{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(triangular) rho(0.887)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    55836{col 34}    23130{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.335{col 34}    2.335
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.633{col 34}    2.633
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.887{col 34}    0.887
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00733{col 33} .01494{col 43}-0.4904{col 52}0.624{col 60}-.036619{col 73} .021961
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01807{col 33} .01494{col 43}-1.2090{col 52}0.227{col 60}-.047358{col 73} .011223
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01807{col 33} .01951{col 43}-0.9261{col 52}0.354{col 60}-.056304{col 73}  .02017
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est10{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(uniform) rho(1)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    56506{col 34}    23341{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.374{col 34}    2.374
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.374{col 34}    2.374
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00031{col 33} .01352{col 43}-0.0230{col 52}0.982{col 60}-.026806{col 73} .026184
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01662{col 33} .01352{col 43}-1.2294{col 52}0.219{col 60}-.043113{col 73} .009876
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01662{col 33} .02016{col 43}-0.8242{col 52}0.410{col 60}-.056137{col 73}   .0229
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est11{txt} stored)

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(epanechnikov) rho(0.924)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    56101{col 34}    23227{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.352{col 34}    2.352
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.545{col 34}    2.545
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.924{col 34}    0.924
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00447{col 33} .01454{col 43}-0.3073{col 52}0.759{col 60}-.032957{col 73} .024023
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01549{col 33} .01454{col 43}-1.0657{col 52}0.287{col 60}-.043981{col 73} .012999
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01549{col 33} .01987{col 43}-0.7795{col 52}0.436{col 60}-.054443{col 73}  .02346
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est12{txt} stored)

{com}. 
. coefplot (est1, msymbol(triangle) mcolor(black) keep(Conventional Robust)) ///
>         (est2, msymbol(square) mcolor(black) keep(Conventional Robust)) ///
>         (est3, msymbol(circle) mcolor(black) keep(Conventional Robust)) ///
>         (est4, msymbol(triangle) mlcolor(black) mfcolor(white) keep(Conventional Robust)) ///
>         (est5, msymbol(square) mlcolor(black) mfcolor(white) keep(Conventional Robust)) ///
>         (est6, msymbol(circle) mlcolor(black) mfcolor(white) keep(Conventional Robust)) ///
>         (est7, msymbol(triangle) mcolor(gs12) keep(Conventional Robust)) ///
>         (est8, msymbol(square) mcolor(gs12) keep(Conventional Robust)) ///
>         (est9, msymbol(circle) mcolor(gs12) keep(Conventional Robust)) ///
>         (est10, msymbol(triangle) mlcolor(gs12) mfcolor(white) keep(Conventional Robust)) ///
>         (est11, msymbol(square) mlcolor(gs12) mfcolor(white) keep(Conventional Robust)) ///
>         (est12, msymbol(circle) mlcolor(gs12) mfcolor(white) keep(Conventional Robust)), ///
>         vertical scheme(sj) graphregion(color(white)) plotregion(lcolor(black)) ylabel(,format(%9.2f) angle(0)) ytitle("Point estimate") ///
>         yline(0) xsize(16) ysize(9) ciopts(recast(rcap) color(black)) legend(label(2 "p = 1, MSE, triangular") label(4 "p = 1, MSE, uniform") ///
>         label(6 "p = 1, MSE, epanechnikov") label(8 "p = 1, CER, triangular") ///
>         label(10 "p = 1, CER, uniform") label(12 "p = 1, CER, epanechnikov") ///
>         label(14 "p = 2, MSE, triangular") label(16 "p = 2, MSE, uniform") ///
>         label(18 "p = 2, MSE, epanechnikov") label(20 "p = 2, CER, triangular") ///
>         label(22 "p = 2, CER, uniform") label(24 "p = 2, CER, epanechnikov") cols(4)) ///
>         subtitle("Panel D: Finland", position(11))
{res}{txt}
{com}. 
. graph save "$dir/temp/finland_figureA3.gph", replace
{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/finland_figureA3.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/finland_figureA3.gph} saved

{com}. 
. grc1leg "$dir/temp/brazil_figureA3.gph" "$dir/temp/colombia_figureA3.gph" ///
>         "$dir/temp/denmark_figureA3.gph" "$dir/temp/finland_figureA3.gph", ///
>         legendfrom("$dir/temp/finland_figureA3.gph") ///
>         graphregion(color(white)) cols(2)
{res}{txt}
{com}. graph display, xsize(20) ysize(10)
{res}{txt}
{com}. graph export "$dir/figures/Figure_OA3.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
/Users/jaakko/Documents/PA_replication_package/figures/Figure_OA3.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. ********************************************************************************
. 
{txt}end of do-file

{com}. 
. do "$dir/code/Figure_OA4.do" // Figure OA4
{txt}
{com}. clear all
{res}{txt}
{com}. 
. ********************************************************************************
. ********************************************************************************
. **** When Can We Trust Regression Discontinuity Design Estimates from Close ****
. *************** Elections? Evidence from Experimental Benchmarks ***************
. ********************************************************************************
. ********************************************************************************
. 
. * This file produces Figure OA4 in Online Appendix C of De Magalhaes et al. 
. * (Political Analysis).
. 
. cd "$dir"
{res}/Users/jaakko/Documents/PA_replication_package
{txt}
{com}. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. ********************************************************************************
. 
. est clear
{txt}
{com}. 
. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) all vce(cluster constituency) bwselect(mserd) kernel(triangular) rho(0.85)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36778{col 34}    30797{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.734{col 34}    1.734
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.040{col 34}    2.040
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.850{col 34}    0.850
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5549{col 34}     5549

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03187{col 33}  .0079{col 43}-4.0364{col 52}0.000{col 60} -.04735{col 73}-.016396
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05048{col 33}  .0079{col 43}-6.3930{col 52}0.000{col 60} -.06596{col 73}-.035006
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05048{col 33} .01075{col 43}-4.6952{col 52}0.000{col 60}-.071556{col 73}-.029409
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) all vce(cluster constituency) bwselect(mserd) kernel(uniform) rho(1)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31778{col 34}    27276{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.518{col 34}    1.518
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.518{col 34}    1.518
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5489{col 34}     5488

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02522{col 33} .00766{col 43}-3.2920{col 52}0.001{col 60}-.040242{col 73}-.010206
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05606{col 33} .00766{col 43}-7.3159{col 52}0.000{col 60}-.071074{col 73}-.041038
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05606{col 33} .01194{col 43}-4.6963{col 52}0.000{col 60}-.079451{col 73}-.032661
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) all vce(cluster constituency) bwselect(mserd) kernel(epanechnikov) rho(0.898) 
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    35064{col 34}    29592{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.660{col 34}    1.660
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.848{col 34}    1.848
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.898{col 34}    0.898
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5536{col 34}     5535

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02995{col 33} .00781{col 43}-3.8351{col 52}0.000{col 60}-.045256{col 73}-.014644
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05205{col 33} .00781{col 43}-6.6647{col 52}0.000{col 60}-.067353{col 73}-.036741
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05205{col 33} .01111{col 43}-4.6859{col 52}0.000{col 60}-.073817{col 73}-.030278
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(triangular) rho(0.85)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    22021{col 34}    19823{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.088{col 34}    1.088
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.281{col 34}    1.281
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.850{col 34}    0.850
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5430{col 34}     5427

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04819{col 33} .01016{col 43}-4.7427{col 52}0.000{col 60}-.068104{col 73}-.028275
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06448{col 33} .01016{col 43}-6.3456{col 52}0.000{col 60} -.08439{col 73}-.044561
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06448{col 33} .01417{col 43}-4.5498{col 52}0.000{col 60} -.09225{col 73}-.036701
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(uniform) rho(1)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19133{col 34}    17359{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.953{col 34}    0.953
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.953{col 34}    0.953
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5207{col 34}     5203

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04595{col 33} .00989{col 43}-4.6486{col 52}0.000{col 60}-.065327{col 73}-.026578
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06059{col 33} .00989{col 43}-6.1289{col 52}0.000{col 60} -.07996{col 73}-.041211
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06059{col 33} .01591{col 43}-3.8091{col 52}0.000{col 60}-.091759{col 73}-.029412
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est5{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(epanechnikov) rho(0.898)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21008{col 34}    18959{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.042{col 34}    1.042
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.160{col 34}    1.160
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.898{col 34}    0.898
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5355{col 34}     5352

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04683{col 33} .01005{col 43}-4.6617{col 52}0.000{col 60}-.066518{col 73} -.02714
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06372{col 33} .01005{col 43}-6.3429{col 52}0.000{col 60}-.083406{col 73}-.044028
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06372{col 33} .01467{col 43}-4.3439{col 52}0.000{col 60}-.092466{col 73}-.034968
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est6{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) all vce(cluster constituency) bwselect(mserd) kernel(triangular) rho(0.887)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   115333{col 34}    68287{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.724{col 34}    4.724
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.326{col 34}    5.326
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.887{col 34}    0.887
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02671{col 33} .00701{col 43}-3.8118{col 52}0.000{col 60}-.040437{col 73}-.012974
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03878{col 33} .00701{col 43}-5.5356{col 52}0.000{col 60}-.052513{col 73}-.025051
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03878{col 33} .00868{col 43}-4.4699{col 52}0.000{col 60}-.055787{col 73}-.021777
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est7{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) all vce(cluster constituency) bwselect(mserd) kernel(uniform) rho(1)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   105095{col 34}    64891{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.369{col 34}    4.369
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.369{col 34}    4.369
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5561

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02204{col 33} .00672{col 43}-3.2802{col 52}0.001{col 60}-.035207{col 73} -.00887
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03907{col 33} .00672{col 43}-5.8146{col 52}0.000{col 60}-.052235{col 73}-.025898
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03907{col 33}  .0092{col 43}-4.2449{col 52}0.000{col 60}-.057104{col 73}-.021029
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est8{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) all vce(cluster constituency) bwselect(mserd) kernel(epanechnikov) rho(0.924) 
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   111943{col 34}    67179{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.609{col 34}    4.609
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.988{col 34}    4.988
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.924{col 34}    0.924
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02493{col 33} .00691{col 43}-3.6067{col 52}0.000{col 60}-.038476{col 73}-.011382
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0388{col 33} .00691{col 43}-5.6134{col 52}0.000{col 60}-.052345{col 73}-.025252
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0388{col 33} .00882{col 43}-4.3965{col 52}0.000{col 60}-.056095{col 73}-.021502
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est9{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) all vce(cluster constituency) kernel(triangular) bwselect(cerrd) rho(0.887)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    61868{col 34}    46362{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.774{col 34}    2.774
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.127{col 34}    3.127
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.887{col 34}    0.887
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5560{col 34}     5559

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04262{col 33} .00926{col 43}-4.6009{col 52}0.000{col 60}-.060771{col 73}-.024462
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05259{col 33} .00926{col 43}-5.6779{col 52}0.000{col 60}-.070746{col 73}-.034438
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05259{col 33} .01155{col 43}-4.5541{col 52}0.000{col 60}-.075226{col 73}-.029958
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est10{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(uniform) rho(1)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    56578{col 34}    43392{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.565{col 34}    2.565
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.565{col 34}    2.565
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5559{col 34}     5557

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03555{col 33} .00894{col 43}-3.9773{col 52}0.000{col 60}-.053061{col 73}-.018029
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05764{col 33} .00894{col 43}-6.4493{col 52}0.000{col 60}-.075153{col 73}-.040121
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05764{col 33} .01234{col 43}-4.6721{col 52}0.000{col 60}-.081816{col 73}-.033458
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est11{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(epanechnikov) rho(0.924)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    60116{col 34}    45382{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.706{col 34}    2.706
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.929{col 34}    2.929
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.924{col 34}    0.924
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5559{col 34}     5558

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04065{col 33} .00915{col 43}-4.4429{col 52}0.000{col 60}-.058588{col 73} -.02272
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05211{col 33} .00915{col 43}-5.6947{col 52}0.000{col 60}-.070041{col 73}-.034173
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05211{col 33} .01177{col 43}-4.4281{col 52}0.000{col 60}-.075171{col 73}-.029044
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est12{txt} stored)

{com}. 
. coefplot (est1, msymbol(triangle) mcolor(black) keep(Conventional Robust)) ///
>         (est2, msymbol(square) mcolor(black) keep(Conventional Robust)) ///
>         (est3, msymbol(circle) mcolor(black) keep(Conventional Robust)) ///
>         (est4, msymbol(triangle) mlcolor(black) mfcolor(white) keep(Conventional Robust)) ///
>         (est5, msymbol(square) mlcolor(black) mfcolor(white) keep(Conventional Robust)) ///
>         (est6, msymbol(circle) mlcolor(black) mfcolor(white) keep(Conventional Robust)) ///
>         (est7, msymbol(triangle) mcolor(gs12) keep(Conventional Robust)) ///
>         (est8, msymbol(square) mcolor(gs12) keep(Conventional Robust)) ///
>         (est9, msymbol(circle) mcolor(gs12) keep(Conventional Robust)) ///
>         (est10, msymbol(triangle) mlcolor(gs12) mfcolor(white) keep(Conventional Robust)) ///
>         (est11, msymbol(square) mlcolor(gs12) mfcolor(white) keep(Conventional Robust)) ///
>         (est12, msymbol(circle) mlcolor(gs12) mfcolor(white) keep(Conventional Robust)), ///
>         vertical scheme(sj) graphregion(color(white)) plotregion(lcolor(black)) ylabel(,format(%9.2f) angle(0)) ytitle("Point estimate") ///
>         yline(0) xsize(16) ysize(9) ciopts(recast(rcap) color(black)) legend(label(2 "p = 1, MSE, triangular") label(4 "p = 1, MSE, uniform") ///
>         label(6 "p = 1, MSE, epanechnikov") label(8 "p = 1, CER, triangular") ///
>         label(10 "p = 1, CER, uniform") label(12 "p = 1, CER, epanechnikov") ///
>         label(14 "p = 2, MSE, triangular") label(16 "p = 2, MSE, uniform") ///
>         label(18 "p = 2, MSE, epanechnikov") label(20 "p = 2, CER, triangular") ///
>         label(22 "p = 2, CER, uniform") label(24 "p = 2, CER, epanechnikov") cols(4)) ///
>         subtitle("Panel A: Brazil", position(11))
{res}{txt}
{com}. 
. graph save "$dir/temp/brazil_figureA3.gph", replace
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/brazil_figureA3.gph} saved

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) all vce(cluster constituency) bwselect(mserd) kernel(triangular) rho(0.85)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    22458{col 34}    15845{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.617{col 34}    3.617
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.255{col 34}    4.255
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.850{col 34}    0.850
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04854{col 33} .00926{col 43}5.2430{col 52}0.000{col 60} .030395{col 73} .066686
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04054{col 33} .00926{col 43}4.3789{col 52}0.000{col 60} .022395{col 73} .058686
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04054{col 33} .01245{col 43}3.2562{col 52}0.001{col 60} .016139{col 73} .064943
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) all vce(cluster constituency) bwselect(mserd) kernel(uniform) rho(1)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19957{col 34}    14569{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.245{col 34}    3.245
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.245{col 34}    3.245
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1098{col 34}     1098

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05175{col 33} .00885{col 43}5.8469{col 52}0.000{col 60} .034401{col 73} .069094
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03995{col 33} .00885{col 43}4.5138{col 52}0.000{col 60} .022602{col 73} .057295
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03995{col 33} .01362{col 43}2.9330{col 52}0.003{col 60} .013253{col 73} .066645
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) all vce(cluster constituency) bwselect(mserd) kernel(epanechnikov) rho(0.898)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21982{col 34}    15593{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.542{col 34}    3.542
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.944{col 34}    3.944
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.898{col 34}    0.898
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04964{col 33} .00904{col 43}5.4920{col 52}0.000{col 60} .031928{col 73} .067362
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04218{col 33} .00904{col 43}4.6664{col 52}0.000{col 60} .024465{col 73} .059899
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04218{col 33} .01269{col 43}3.3238{col 52}0.001{col 60} .017308{col 73} .067056
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(triangular) rho(0.850)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14710{col 34}    11576{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.461{col 34}    2.461
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.896{col 34}    2.896
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.850{col 34}    0.850
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1097

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04438{col 33} .01126{col 43}3.9415{col 52}0.000{col 60} .022311{col 73} .066447
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03544{col 33} .01126{col 43}3.1477{col 52}0.002{col 60} .013373{col 73}  .05751
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03544{col 33} .01533{col 43}2.3123{col 52}0.021{col 60}   .0054{col 73} .065483
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(uniform) rho(1)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13079{col 34}    10539{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.208{col 34}    2.208
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.208{col 34}    2.208
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1094{col 34}     1094

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04634{col 33} .01078{col 43}4.2974{col 52}0.000{col 60} .025203{col 73} .067468
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03706{col 33} .01078{col 43}3.4374{col 52}0.001{col 60}  .01593{col 73} .058196
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03706{col 33} .01682{col 43}2.2039{col 52}0.028{col 60} .004103{col 73} .070023
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est5{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(epanechnikov) rho(0.898)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14389{col 34}    11375{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.410{col 34}    2.410
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.684{col 34}    2.684
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.898{col 34}    0.898
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1096

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04602{col 33} .01103{col 43}4.1713{col 52}0.000{col 60} .024399{col 73} .067648
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03586{col 33} .01103{col 43}3.2500{col 52}0.001{col 60} .014233{col 73} .057483
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03586{col 33} .01562{col 43}2.2960{col 52}0.022{col 60} .005248{col 73} .066468
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est6{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) all vce(cluster constituency) bwselect(mserd) kernel(triangular) rho(0.887)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    52198{col 34}    26134{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.209{col 34}    8.209
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    9.255{col 34}    9.255
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.887{col 34}    0.887
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04646{col 33} .00913{col 43}5.0911{col 52}0.000{col 60} .028575{col 73} .064348
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03728{col 33} .00913{col 43}4.0845{col 52}0.000{col 60} .019389{col 73} .055162
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03728{col 33} .01123{col 43}3.3201{col 52}0.001{col 60}  .01527{col 73}  .05928
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est7{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) all vce(cluster constituency) bwselect(mserd) kernel(uniform) rho(1)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    47276{col 34}    24887{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.375{col 34}    7.375
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.375{col 34}    7.375
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04985{col 33} .00887{col 43}5.6191{col 52}0.000{col 60} .032463{col 73} .067239
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03387{col 33} .00887{col 43}3.8179{col 52}0.000{col 60} .016483{col 73}  .05126
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03387{col 33} .01208{col 43}2.8041{col 52}0.005{col 60} .010196{col 73} .057547
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est8{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) all vce(cluster constituency) bwselect(mserd) kernel(epanechnikov) rho(0.924)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    50935{col 34}    25840{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.997{col 34}    7.997
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.655{col 34}    8.655
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.924{col 34}    0.924
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04739{col 33}   .009{col 43}5.2648{col 52}0.000{col 60} .029745{col 73} .065026
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03605{col 33}   .009{col 43}4.0059{col 52}0.000{col 60} .018414{col 73} .053695
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03605{col 33} .01143{col 43}3.1538{col 52}0.002{col 60} .013648{col 73} .058461
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est9{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(triangular) rho(0.887)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    33686{col 34}    20631{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.288{col 34}    5.288
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.962{col 34}    5.962
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.887{col 34}    0.887
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03968{col 33} .01134{col 43}3.5004{col 52}0.000{col 60} .017463{col 73} .061903
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03943{col 33} .01134{col 43}3.4779{col 52}0.001{col 60} .017208{col 73} .061648
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03943{col 33} .01404{col 43}2.8076{col 52}0.005{col 60} .011904{col 73} .066952
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est10{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(uniform) rho(1)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30045{col 34}    19257{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.751{col 34}    4.751
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.751{col 34}    4.751
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1100

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03853{col 33} .01107{col 43}3.4813{col 52}0.000{col 60} .016836{col 73} .060216
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0425{col 33} .01107{col 43}3.8401{col 52}0.000{col 60} .020806{col 73} .064186
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0425{col 33} .01522{col 43}2.7924{col 52}0.005{col 60} .012668{col 73} .072324
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est11{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(epanechnikov) rho(0.924)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    32704{col 34}    20282{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.151{col 34}    5.151
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.575{col 34}    5.575
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.924{col 34}    0.924
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0398{col 33}  .0112{col 43}3.5538{col 52}0.000{col 60} .017851{col 73} .061752
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03974{col 33}  .0112{col 43}3.5482{col 52}0.000{col 60} .017788{col 73} .061689
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03974{col 33} .01429{col 43}2.7815{col 52}0.005{col 60} .011737{col 73}  .06774
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est12{txt} stored)

{com}. 
. coefplot (est1, msymbol(triangle) mcolor(black) keep(Conventional Robust)) ///
>         (est2, msymbol(square) mcolor(black) keep(Conventional Robust)) ///
>         (est3, msymbol(circle) mcolor(black) keep(Conventional Robust)) ///
>         (est4, msymbol(triangle) mlcolor(black) mfcolor(white) keep(Conventional Robust)) ///
>         (est5, msymbol(square) mlcolor(black) mfcolor(white) keep(Conventional Robust)) ///
>         (est6, msymbol(circle) mlcolor(black) mfcolor(white) keep(Conventional Robust)) ///
>         (est7, msymbol(triangle) mcolor(gs12) keep(Conventional Robust)) ///
>         (est8, msymbol(square) mcolor(gs12) keep(Conventional Robust)) ///
>         (est9, msymbol(circle) mcolor(gs12) keep(Conventional Robust)) ///
>         (est10, msymbol(triangle) mlcolor(gs12) mfcolor(white) keep(Conventional Robust)) ///
>         (est11, msymbol(square) mlcolor(gs12) mfcolor(white) keep(Conventional Robust)) ///
>         (est12, msymbol(circle) mlcolor(gs12) mfcolor(white) keep(Conventional Robust)), ///
>         vertical scheme(sj) graphregion(color(white)) plotregion(lcolor(black)) ylabel(,format(%9.2f) angle(0)) ytitle("Point estimate") ///
>         yline(0) xsize(16) ysize(9) ciopts(recast(rcap) color(black)) legend(label(2 "p = 1, MSE, triangular") label(4 "p = 1, MSE, uniform") ///
>         label(6 "p = 1, MSE, epanechnikov") label(8 "p = 1, CER, triangular") ///
>         label(10 "p = 1, CER, uniform") label(12 "p = 1, CER, epanechnikov") ///
>         label(14 "p = 2, MSE, triangular") label(16 "p = 2, MSE, uniform") ///
>         label(18 "p = 2, MSE, epanechnikov") label(20 "p = 2, CER, triangular") ///
>         label(22 "p = 2, CER, uniform") label(24 "p = 2, CER, epanechnikov") cols(4)) ///
>         subtitle("Panel B: Colombia", position(11))
{res}{txt}
{com}. 
. graph save "$dir/temp/colombia_figureA3.gph", replace
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/colombia_figureA3.gph} saved

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) all vce(cluster constituency) bwselect(mserd) kernel(triangular) rho(0.85)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4486{col 34}     2224{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.901{col 34}    3.901
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.590{col 34}    4.590
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.850{col 34}    0.850
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .26031{col 33} .02048{col 43}12.7086{col 52}0.000{col 60} .220165{col 73} .300457
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .20108{col 33} .02048{col 43}9.8168{col 52}0.000{col 60} .160931{col 73} .241223
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .20108{col 33} .02578{col 43}7.8008{col 52}0.000{col 60} .150556{col 73} .251598
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est1{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) all vce(cluster constituency) bwselect(mserd) kernel(uniform) rho(1)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4377{col 34}     2153{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.578{col 34}    3.578
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.578{col 34}    3.578
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .28811{col 33} .01942{col 43}14.8353{col 52}0.000{col 60} .250042{col 73} .326168
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .1984{col 33} .01942{col 43}10.2162{col 52}0.000{col 60} .160338{col 73} .236464
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .1984{col 33} .02743{col 43}7.2327{col 52}0.000{col 60} .144637{col 73} .252165
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est2{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) all vce(cluster constituency) bwselect(mserd) kernel(epanechnikov) rho(0.898)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4423{col 34}     2182{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.718{col 34}    3.718
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.141{col 34}    4.141
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.898{col 34}    0.898
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .26891{col 33} .02031{col 43}13.2412{col 52}0.000{col 60} .229103{col 73} .308711
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .20285{col 33} .02031{col 43}9.9886{col 52}0.000{col 60} .163048{col 73} .242655
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .20285{col 33} .02632{col 43}7.7062{col 52}0.000{col 60} .151259{col 73} .254444
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est3{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(triangular) rho(0.850)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4128{col 34}     2013{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.996{col 34}    2.996
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.525{col 34}    3.525
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.850{col 34}    0.850
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .23935{col 33} .02225{col 43}10.7565{col 52}0.000{col 60} .195735{col 73} .282959
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .17743{col 33} .02225{col 43}7.9739{col 52}0.000{col 60} .133817{col 73} .221041
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .17743{col 33} .02842{col 43}6.2436{col 52}0.000{col 60} .121731{col 73} .233127
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est4{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(uniform) rho(1)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3985{col 34}     1958{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.748{col 34}    2.748
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.748{col 34}    2.748
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .26914{col 33} .02163{col 43}12.4459{col 52}0.000{col 60} .226759{col 73} .311528
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .17094{col 33} .02163{col 43}7.9049{col 52}0.000{col 60}  .12856{col 73} .213328
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .17094{col 33} .02888{col 43}5.9188{col 52}0.000{col 60} .114337{col 73} .227551
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est5{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(epanechnikov) rho(0.898)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4054{col 34}     1978{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.856{col 34}    2.856
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.180{col 34}    3.180
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.898{col 34}    0.898
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       91

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .24895{col 33} .02208{col 43}11.2749{col 52}0.000{col 60} .205675{col 73} .292228
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .17535{col 33} .02208{col 43}7.9415{col 52}0.000{col 60} .132075{col 73} .218628
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .17535{col 33}  .0287{col 43}6.1090{col 52}0.000{col 60} .119093{col 73}  .23161
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est6{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) all vce(cluster constituency) bwselect(mserd) kernel(triangular) rho(0.887)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5435{col 34}     2653{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.636{col 34}    7.636
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.609{col 34}    8.609
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.887{col 34}    0.887
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       95

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .24108{col 33} .02191{col 43}11.0008{col 52}0.000{col 60} .198125{col 73} .284029
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .1992{col 33} .02191{col 43}9.0898{col 52}0.000{col 60} .156248{col 73} .242151
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .1992{col 33} .02573{col 43}7.7422{col 52}0.000{col 60} .148772{col 73} .249627
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est7{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) all vce(cluster constituency) bwselect(mserd) kernel(uniform) rho(1)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5196{col 34}     2561{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.436{col 34}    6.436
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.436{col 34}    6.436
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       93{col 34}       93

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .25159{col 33} .02224{col 43}11.3117{col 52}0.000{col 60}    .208{col 73} .295186
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .18853{col 33} .02224{col 43}8.4763{col 52}0.000{col 60} .144936{col 73} .232122
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .18853{col 33} .02706{col 43}6.9681{col 52}0.000{col 60} .135501{col 73} .241558
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est8{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) all vce(cluster constituency) bwselect(mserd) kernel(epanechnikov) rho(0.924)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5361{col 34}     2624{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.238{col 34}    7.238
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.834{col 34}    7.834
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.924{col 34}    0.924
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       95

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .24482{col 33} .02191{col 43}11.1752{col 52}0.000{col 60} .201879{col 73} .287753
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .19684{col 33} .02191{col 43}8.9853{col 52}0.000{col 60} .153904{col 73} .239778
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .19684{col 33} .02646{col 43}7.4401{col 52}0.000{col 60} .144986{col 73} .248695
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est9{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(triangular) rho(0.887)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4994{col 34}     2483{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.648{col 34}    5.648
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.368{col 34}    6.368
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.887{col 34}    0.887
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       93{col 34}       93

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .2148{col 33} .02401{col 43}8.9454{col 52}0.000{col 60} .167735{col 73} .261861
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .17635{col 33} .02401{col 43}7.3444{col 52}0.000{col 60} .129292{col 73} .223417
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .17635{col 33} .02819{col 43}6.2559{col 52}0.000{col 60} .121103{col 73} .231606
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est10{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(uniform) rho(1)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4735{col 34}     2346{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.760{col 34}    4.760
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.760{col 34}    4.760
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .22492{col 33} .02391{col 43}9.4083{col 52}0.000{col 60} .178065{col 73} .271778
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .16534{col 33} .02391{col 43}6.9159{col 52}0.000{col 60} .118482{col 73} .212195
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .16534{col 33} .03071{col 43}5.3841{col 52}0.000{col 60} .105151{col 73} .225526
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est11{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(epanechnikov) rho(0.924)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4898{col 34}     2442{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.354{col 34}    5.354
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.794{col 34}    5.794
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.924{col 34}    0.924
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .21977{col 33} .02398{col 43}9.1660{col 52}0.000{col 60} .172779{col 73} .266766
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .17735{col 33} .02398{col 43}7.3966{col 52}0.000{col 60} .130354{col 73} .224341
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .17735{col 33} .02883{col 43}6.1515{col 52}0.000{col 60} .120842{col 73} .233854
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est12{txt} stored)

{com}. 
. coefplot (est1, msymbol(triangle) mcolor(black) keep(Conventional Robust)) ///
>         (est2, msymbol(square) mcolor(black) keep(Conventional Robust)) ///
>         (est3, msymbol(circle) mcolor(black) keep(Conventional Robust)) ///
>         (est4, msymbol(triangle) mlcolor(black) mfcolor(white) keep(Conventional Robust)) ///
>         (est5, msymbol(square) mlcolor(black) mfcolor(white) keep(Conventional Robust)) ///
>         (est6, msymbol(circle) mlcolor(black) mfcolor(white) keep(Conventional Robust)) ///
>         (est7, msymbol(triangle) mcolor(gs12) keep(Conventional Robust)) ///
>         (est8, msymbol(square) mcolor(gs12) keep(Conventional Robust)) ///
>         (est9, msymbol(circle) mcolor(gs12) keep(Conventional Robust)) ///
>         (est10, msymbol(triangle) mlcolor(gs12) mfcolor(white) keep(Conventional Robust)) ///
>         (est11, msymbol(square) mlcolor(gs12) mfcolor(white) keep(Conventional Robust)) ///
>         (est12, msymbol(circle) mlcolor(gs12) mfcolor(white) keep(Conventional Robust)), ///
>         vertical scheme(sj) graphregion(color(white)) plotregion(lcolor(black)) ylabel(,format(%9.2f) angle(0)) ytitle("Point estimate") ///
>         xsize(16) ysize(9) ciopts(recast(rcap) color(black)) legend(label(2 "p = 1, MSE, triangular") label(4 "p = 1, MSE, uniform") ///
>         label(6 "p = 1, MSE, epanechnikov") label(8 "p = 1, CER, triangular") ///
>         label(10 "p = 1, CER, uniform") label(12 "p = 1, CER, epanechnikov") ///
>         label(14 "p = 2, MSE, triangular") label(16 "p = 2, MSE, uniform") ///
>         label(18 "p = 2, MSE, epanechnikov") label(20 "p = 2, CER, triangular") ///
>         label(22 "p = 2, CER, uniform") label(24 "p = 2, CER, epanechnikov") cols(4)) ///
>         subtitle("Panel C: Denmark", position(11))
{res}{txt}
{com}. 
. graph save "$dir/temp/denmark_figureA3.gph", replace
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/denmark_figureA3.gph} saved

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) all vce(cluster constituency) bwselect(mserd) kernel(triangular) rho(0.85)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20662{col 34}    12343{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.019{col 34}    1.019
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.199{col 34}    1.199
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.850{col 34}    0.850
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05613{col 33} .01238{col 43}4.5354{col 52}0.000{col 60} .031875{col 73}  .08039
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01872{col 33} .01238{col 43}1.5129{col 52}0.130{col 60}-.005534{col 73} .042981
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01872{col 33} .01803{col 43}1.0387{col 52}0.299{col 60}-.016607{col 73} .054054
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) all vce(cluster constituency) bwselect(mserd) kernel(uniform) rho(1)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18954{col 34}    11710{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.960{col 34}    0.960
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.960{col 34}    0.960
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .07014{col 33} .01137{col 43}6.1689{col 52}0.000{col 60} .047858{col 73}  .09243
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02176{col 33} .01137{col 43}1.9140{col 52}0.056{col 60}-.000522{col 73}  .04405
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02176{col 33} .01945{col 43}1.1189{col 52}0.263{col 60}-.016361{col 73} .059888
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) all vce(cluster constituency) bwselect(mserd) kernel(epanechnikov) rho(0.898)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19974{col 34}    12096{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.997{col 34}    0.997
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.110{col 34}    1.110
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.898{col 34}    0.898
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .06033{col 33} .01195{col 43}5.0500{col 52}0.000{col 60} .036913{col 73} .083741
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01987{col 33} .01195{col 43}1.6637{col 52}0.096{col 60}-.003539{col 73} .043289
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01987{col 33} .01849{col 43}1.0749{col 52}0.282{col 60}-.016364{col 73} .056113
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(triangular) rho(0.850)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12835{col 34}     9026{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.725{col 34}    0.725
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.853{col 34}    0.853
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.850{col 34}    0.850
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      443

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03665{col 33} .01579{col 43}2.3206{col 52}0.020{col 60} .005695{col 73} .067598
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00285{col 33} .01579{col 43}0.1807{col 52}0.857{col 60}-.028098{col 73} .033805
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00285{col 33}  .0234{col 43}0.1219{col 52}0.903{col 60}-.043011{col 73} .048718
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(uniform) rho(1)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11826{col 34}     8524{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.684{col 34}    0.684
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.684{col 34}    0.684
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      440{col 34}      440

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05613{col 33}  .0143{col 43}3.9243{col 52}0.000{col 60} .028094{col 73} .084158
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00992{col 33}  .0143{col 43}-0.6934{col 52}0.488{col 60}-.037949{col 73} .018115
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00992{col 33} .02495{col 43}-0.3975{col 52}0.691{col 60}-.058809{col 73} .038975
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est5{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) all vce(cluster constituency) bwselect(cerrd) kernel(epanechnikov) rho(0.898)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12470{col 34}     8848{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.710{col 34}    0.710
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.790{col 34}    0.790
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.898{col 34}    0.898
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      443

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04151{col 33} .01533{col 43}2.7080{col 52}0.007{col 60} .011465{col 73} .071547
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0009{col 33} .01533{col 43}0.0585{col 52}0.953{col 60}-.029144{col 73} .030938
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0009{col 33} .02396{col 43}0.0374{col 52}0.970{col 60}-.046063{col 73} .047857
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est6{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) all vce(cluster constituency) bwselect(mserd) kernel(triangular) rho(0.887)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    68139{col 34}    27603{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.180{col 34}    3.180
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.585{col 34}    3.585
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.887{col 34}    0.887
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0753{col 33} .01086{col 43}6.9339{col 52}0.000{col 60} .054014{col 73} .096582
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03778{col 33} .01086{col 43}3.4791{col 52}0.001{col 60} .016496{col 73} .059065
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03778{col 33} .01285{col 43}2.9397{col 52}0.003{col 60} .012591{col 73}  .06297
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est7{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) all vce(cluster constituency) bwselect(mserd) kernel(uniform) rho(1)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    70910{col 34}    28672{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.432{col 34}    3.432
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.432{col 34}    3.432
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .1112{col 33} .01057{col 43}10.5212{col 52}0.000{col 60} .090485{col 73} .131915
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04091{col 33} .01057{col 43}3.8704{col 52}0.000{col 60} .020192{col 73} .061622
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04091{col 33}  .0126{col 43}3.2459{col 52}0.001{col 60} .016206{col 73} .065608
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est8{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) all vce(cluster constituency) bwselect(mserd) kernel(epanechnikov) rho(0.924)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    69189{col 34}    28033{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.274{col 34}    3.274
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.544{col 34}    3.544
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.924{col 34}    0.924
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .08474{col 33} .01075{col 43}7.8848{col 52}0.000{col 60} .063673{col 73}   .1058
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04019{col 33} .01075{col 43}3.7393{col 52}0.000{col 60} .019122{col 73} .061249
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04019{col 33}  .0127{col 43}3.1649{col 52}0.002{col 60} .015299{col 73} .065071
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est9{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(triangular) rho(0.887)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    52221{col 34}    21990{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.157{col 34}    2.157
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.432{col 34}    2.432
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.887{col 34}    0.887
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04547{col 33} .01251{col 43}3.6335{col 52}0.000{col 60} .020941{col 73} .069991
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02056{col 33} .01251{col 43}1.6434{col 52}0.100{col 60}-.003961{col 73} .045089
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02056{col 33} .01617{col 43}1.2714{col 52}0.204{col 60}-.011138{col 73} .052266
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est10{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(uniform) rho(1)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    55717{col 34}    23090{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.328{col 34}    2.328
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.328{col 34}    2.328
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .06654{col 33} .01148{col 43}5.7962{col 52}0.000{col 60}  .04404{col 73} .089041
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02715{col 33} .01148{col 43}2.3651{col 52}0.018{col 60} .004651{col 73} .049652
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02715{col 33} .01559{col 43}1.7414{col 52}0.082{col 60}-.003408{col 73} .057711
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est11{txt} stored)

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) all vce(cluster constituency) bwselect(cerrd) kernel(epanechnikov) rho(0.924)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Epanechnikov}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    53541{col 34}    22432{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.221{col 34}    2.221
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.404{col 34}    2.404
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.924{col 34}    0.924
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05205{col 33} .01203{col 43}4.3281{col 52}0.000{col 60}  .02848{col 73} .075622
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02247{col 33} .01203{col 43}1.8682{col 52}0.062{col 60}-.001103{col 73} .046039
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02247{col 33} .01584{col 43}1.4188{col 52}0.156{col 60}-.008569{col 73} .053505
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est12{txt} stored)

{com}. 
. coefplot (est1, msymbol(triangle) mcolor(black) keep(Conventional Robust)) ///
>         (est2, msymbol(square) mcolor(black) keep(Conventional Robust)) ///
>         (est3, msymbol(circle) mcolor(black) keep(Conventional Robust)) ///
>         (est4, msymbol(triangle) mlcolor(black) mfcolor(white) keep(Conventional Robust)) ///
>         (est5, msymbol(square) mlcolor(black) mfcolor(white) keep(Conventional Robust)) ///
>         (est6, msymbol(circle) mlcolor(black) mfcolor(white) keep(Conventional Robust)) ///
>         (est7, msymbol(triangle) mcolor(gs12) keep(Conventional Robust)) ///
>         (est8, msymbol(square) mcolor(gs12) keep(Conventional Robust)) ///
>         (est9, msymbol(circle) mcolor(gs12) keep(Conventional Robust)) ///
>         (est10, msymbol(triangle) mlcolor(gs12) mfcolor(white) keep(Conventional Robust)) ///
>         (est11, msymbol(square) mlcolor(gs12) mfcolor(white) keep(Conventional Robust)) ///
>         (est12, msymbol(circle) mlcolor(gs12) mfcolor(white) keep(Conventional Robust)), ///
>         vertical scheme(sj) graphregion(color(white)) plotregion(lcolor(black)) ylabel(,format(%9.2f) angle(0)) ytitle("Point estimate") ///
>         yline(0) xsize(16) ysize(9) ciopts(recast(rcap) color(black)) legend(label(2 "p = 1, MSE, triangular") label(4 "p = 1, MSE, uniform") ///
>         label(6 "p = 1, MSE, epanechnikov") label(8 "p = 1, CER, triangular") ///
>         label(10 "p = 1, CER, uniform") label(12 "p = 1, CER, epanechnikov") ///
>         label(14 "p = 2, MSE, triangular") label(16 "p = 2, MSE, uniform") ///
>         label(18 "p = 2, MSE, epanechnikov") label(20 "p = 2, CER, triangular") ///
>         label(22 "p = 2, CER, uniform") label(24 "p = 2, CER, epanechnikov") cols(4)) ///
>         subtitle("Panel D: Finland", position(11))
{res}{txt}
{com}. 
. graph save "$dir/temp/finland_figureA3.gph", replace
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/finland_figureA3.gph} saved

{com}. 
. grc1leg "$dir/temp/brazil_figureA3.gph" "$dir/temp/colombia_figureA3.gph" ///
>         "$dir/temp/denmark_figureA3.gph" "$dir/temp/finland_figureA3.gph", ///
>         legendfrom("$dir/temp/finland_figureA3.gph") ///
>         graphregion(color(white)) cols(2)
{res}{txt}
{com}. graph display, xsize(20) ysize(10)
{res}{txt}
{com}. graph export "$dir/figures/Figure_OA4.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
/Users/jaakko/Documents/PA_replication_package/figures/Figure_OA4.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
{txt}end of do-file

{com}. 
. do "$dir/code/Table_OA5.do" // Table OA5
{txt}
{com}. clear all
{res}{txt}
{com}. 
. ********************************************************************************
. ********************************************************************************
. **** When Can We Trust Regression Discontinuity Design Estimates from Close ****
. *************** Elections? Evidence from Experimental Benchmarks ***************
. ********************************************************************************
. ********************************************************************************
. 
. * This file produces Table OA5 in Online Appendix C of De Magalhaes et al. 
. * (Political Analysis).
. 
. cd "$dir"
{res}/Users/jaakko/Documents/PA_replication_package
{txt}
{com}. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. ********************************************************************************
. 
. est clear
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(0) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    0.197{col 41}    0.197{txt}{col 50} {c |} {col 51}{res}    2.072{col 71}    2.072
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(0) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 0 is .00058806
The estimated AMSE for the bias-corrected sharp estimator of order 0 is .00085699
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(0) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3320{col 34}     3242{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.197{col 34}    0.197
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.197{col 34}    0.197
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     2329{col 34}     2322

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}   .095{col 33} .01154{col 43}8.2313{col 52}0.000{col 60} .072383{col 73} .117626
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08192{col 33} .01154{col 43}7.0978{col 52}0.000{col 60}   .0593{col 73} .104543
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08192{col 33} .02703{col 43}3.0313{col 52}0.002{col 60} .028953{col 73}  .13489
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}.19747073
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}6562
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00058806
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00085699
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    1.297{col 41}    1.297{txt}{col 50} {c |} {col 51}{res}    6.272{col 71}    6.272
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 1 is .00041701
The estimated AMSE for the bias-corrected sharp estimator of order 1 is .0002064
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26638{col 34}    23491{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.297{col 34}    1.297
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.297{col 34}    1.297
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5435{col 34}     5432

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11035{col 33} .00882{col 43}12.5122{col 52}0.000{col 60} .093065{col 73} .127636
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .09583{col 33} .00882{col 43}10.8659{col 52}0.000{col 60} .078546{col 73} .113117
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .09583{col 33} .01352{col 43}7.0859{col 52}0.000{col 60} .069324{col 73} .122338
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}1.29713
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}50129
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00041701
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.0002064
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    3.930{col 41}    3.930{txt}{col 50} {c |} {col 51}{res}   11.463{col 71}   11.463
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 2 is .00012017
The estimated AMSE for the bias-corrected sharp estimator of order 2 is .0001084
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    92537{col 34}    60266{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.930{col 34}    3.930
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.930{col 34}    3.930
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5560

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11145{col 33} .00756{col 43}14.7354{col 52}0.000{col 60} .096623{col 73} .126269
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .09482{col 33} .00756{col 43}12.5366{col 52}0.000{col 60} .079993{col 73}  .10964
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .09482{col 33} .01037{col 43}9.1452{col 52}0.000{col 60} .074496{col 73} .115137
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}3.9297383
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}152803
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00012017
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.0001084
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(3) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    7.439{col 41}    7.439{txt}{col 50} {c |} {col 51}{res}   20.612{col 71}   20.612
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(3) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 3 is .0001708
The estimated AMSE for the bias-corrected sharp estimator of order 3 is .00008697
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(3) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   202120{col 34}    87052{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.439{col 34}    7.439
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.439{col 34}    7.439
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11482{col 33} .00745{col 43}15.4208{col 52}0.000{col 60} .100226{col 73} .129413
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .10523{col 33} .00745{col 43}14.1328{col 52}0.000{col 60} .090636{col 73} .119823
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .10523{col 33} .00936{col 43}11.2408{col 52}0.000{col 60} .086881{col 73} .123577
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}7.4391921
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}289172
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.0001708
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00008697
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(4) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}   11.210{col 41}   11.210{txt}{col 50} {c |} {col 51}{res}   29.543{col 71}   29.543
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(4) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 4 is .0001096
The estimated AMSE for the bias-corrected sharp estimator of order 4 is .0000832
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(4) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   315718{col 34}    99811{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   11.210{col 34}   11.210
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   11.210{col 34}   11.210
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11353{col 33}  .0076{col 43}14.9286{col 52}0.000{col 60} .098623{col 73} .128433
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .1084{col 33}  .0076{col 43}14.2537{col 52}0.000{col 60}  .09349{col 73}   .1233
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .1084{col 33} .00913{col 43}11.8769{col 52}0.000{col 60} .090508{col 73} .126283
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est5{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}11.209829
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}415529
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.0001096
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.0000832
{txt}
{com}. 
. esttab est* using "$dir/tables/table_OA5.tex", replace noomitted nobaselevels booktabs mlabels(none) ///
>         mgroups("\textit{c -(}p{c )-} = 0" "\textit{c -(}p{c )-} = 1" "\textit{c -(}p{c )-} = 2" "\textit{c -(}p{c )-} = 3" "\textit{c -(}p{c )-} = 4", pattern(1 1 1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>         compress lines nostar label ///
>         b(%9.3f) ci(%9.3f) stats(obs bw amse1 amse2, labels("\textit{c -(}N{c )-}" "Bandwidth" "AMSE (conventional)" "AMSE (robust)") ///
>         fmt(0 2 5 5)) keep(Conventional Robust) ///
>         nodepvars nomtitle prehead(\begin{c -(}tabular{c )-}{c -(}l*{c -(}6{c )-}{c -(}c{c )-}{c )-} \toprule) refcat(Conventional "\textbf{c -(}Panel A:{c )-} Brazil", nolabel) ///
>         postfoot(" ")
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/tables/table_OA5.tex{rm}
not found)
{p_end}
(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA5.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(0) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -89.116{col 34}    0.009
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.009{col 34}   86.792
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    0.647{col 41}    0.647{txt}{col 50} {c |} {col 51}{res}    3.999{col 71}    3.999
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(0) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 0 is .00236815
The estimated AMSE for the bias-corrected sharp estimator of order 0 is .0008604
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(0) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3443{col 34}     3176{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.647{col 34}    0.647
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.647{col 34}    0.647
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      957{col 34}      957

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19667{col 33} .01299{col 43}15.1457{col 52}0.000{col 60} .171222{col 73} .222124
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .19661{col 33} .01299{col 43}15.1411{col 52}0.000{col 60} .171162{col 73} .222064
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .19661{col 33}  .0274{col 43}7.1767{col 52}0.000{col 60} .142918{col 73} .250308
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}.64715953
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}6619
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00236815
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.0008604
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -89.116{col 34}    0.009
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.009{col 34}   86.792
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    2.980{col 41}    2.980{txt}{col 50} {c |} {col 51}{res}   10.866{col 71}   10.866
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 1 is .0001789
The estimated AMSE for the bias-corrected sharp estimator of order 1 is .00034579
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18147{col 34}    13568{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.980{col 34}    2.980
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.980{col 34}    2.980
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1097

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19306{col 33} .01247{col 43}15.4862{col 52}0.000{col 60} .168626{col 73} .217495
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .18939{col 33} .01247{col 43}15.1919{col 52}0.000{col 60} .164957{col 73} .213826
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .18939{col 33} .01809{col 43}10.4674{col 52}0.000{col 60} .153929{col 73} .224854
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}2.9803053
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}31715
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.0001789
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00034579
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -89.116{col 34}    0.009
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.009{col 34}   86.792
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    6.283{col 41}    6.283{txt}{col 50} {c |} {col 51}{res}   17.713{col 71}   17.713
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 2 is .00015726
The estimated AMSE for the bias-corrected sharp estimator of order 2 is .00028231
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    40232{col 34}    22854{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.283{col 34}    6.283
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.283{col 34}    6.283
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .18755{col 33} .01271{col 43}14.7557{col 52}0.000{col 60} .162637{col 73} .212461
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .18963{col 33} .01271{col 43}14.9196{col 52}0.000{col 60}  .16472{col 73} .214543
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .18963{col 33} .01688{col 43}11.2365{col 52}0.000{col 60} .156554{col 73} .222709
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}6.2825509
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}63086
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00015726
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00028231
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(3) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -89.116{col 34}    0.009
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.009{col 34}   86.792
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    9.608{col 41}    9.608{txt}{col 50} {c |} {col 51}{res}   25.035{col 71}   25.035
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(3) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 3 is .00018331
The estimated AMSE for the bias-corrected sharp estimator of order 3 is .0002893
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(3) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    60202{col 34}    27826{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    9.608{col 34}    9.608
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    9.608{col 34}    9.608
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .1909{col 33} .01377{col 43}13.8679{col 52}0.000{col 60} .163917{col 73} .217877
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}   .179{col 33} .01377{col 43}13.0033{col 52}0.000{col 60} .152016{col 73} .205976
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}   .179{col 33} .01704{col 43}10.5069{col 52}0.000{col 60} .145606{col 73} .212386
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}9.6076327
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}88028
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00018331
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.0002893
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(4) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -89.116{col 34}    0.009
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.009{col 34}   86.792
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}   14.770{col 41}   14.770{txt}{col 50} {c |} {col 51}{res}   35.938{col 71}   35.938
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(4) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 4 is .00023916
The estimated AMSE for the bias-corrected sharp estimator of order 4 is .00027428
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(4) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    82908{col 34}    31194{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   14.770{col 34}   14.770
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   14.770{col 34}   14.770
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19385{col 33} .01413{col 43}13.7208{col 52}0.000{col 60}  .16616{col 73} .221542
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .18225{col 33} .01413{col 43}12.8999{col 52}0.000{col 60} .154562{col 73} .209944
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .18225{col 33} .01675{col 43}10.8803{col 52}0.000{col 60} .149422{col 73} .215084
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est5{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}14.769772
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}114102
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00023916
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00027428
{txt}
{com}. 
. esttab est* using "$dir/tables/table_OA5.tex", append noomitted nonumbers nobaselevels booktabs mlabels(none) ///
>         compress lines nostar label ///
>         b(%9.3f) ci(%9.3f) stats(obs bw amse1 amse2, labels("\textit{c -(}N{c )-}" "Bandwidth" "AMSE (conventional)" "AMSE (robust)") ///
>         fmt(0 2 5 5)) keep(Conventional Robust) ///
>         nodepvars nomtitle prehead("") refcat(Conventional "\textbf{c -(}Panel B:{c )-} Colombia", nolabel) ///
>         postfoot(" ")
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA5.tex"'})

{com}.         
. est clear
{res}{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(0) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -88.411{col 34}    0.005
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.005{col 34}   88.334
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       98{col 34}       98

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    3.811{col 41}    3.811{txt}{col 50} {c |} {col 51}{res}   16.130{col 71}   16.130
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(0) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 0 is .00554261
The estimated AMSE for the bias-corrected sharp estimator of order 0 is .00050133
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(0) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4456{col 34}     2200{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.811{col 34}    3.811
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.811{col 34}    3.811
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .37341{col 33} .01817{col 43}20.5538{col 52}0.000{col 60} .337806{col 73} .409021
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .31826{col 33} .01817{col 43}17.5182{col 52}0.000{col 60} .282656{col 73} .353872
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .31826{col 33} .02297{col 43}13.8535{col 52}0.000{col 60} .273237{col 73} .363292
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est1{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}3.8110961
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}6656
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00554261
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00050133
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -88.411{col 34}    0.005
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.005{col 34}   88.334
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       98{col 34}       98

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    5.453{col 41}    5.453{txt}{col 50} {c |} {col 51}{res}   21.783{col 71}   21.783
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 1 is .00607076
The estimated AMSE for the bias-corrected sharp estimator of order 1 is .00074682
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4930{col 34}     2459{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.453{col 34}    5.453
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.453{col 34}    5.453
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .34599{col 33} .02279{col 43}15.1802{col 52}0.000{col 60} .301318{col 73} .390662
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .26636{col 33} .02279{col 43}11.6862{col 52}0.000{col 60} .221683{col 73} .311027
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .26636{col 33} .02591{col 43}10.2816{col 52}0.000{col 60}  .21558{col 73}  .31713
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est2{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}5.4531548
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}7389
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00607076
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00074682
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -88.411{col 34}    0.005
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.005{col 34}   88.334
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       98{col 34}       98

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    6.034{col 41}    6.034{txt}{col 50} {c |} {col 51}{res}   18.716{col 71}   18.716
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 2 is .00522137
The estimated AMSE for the bias-corrected sharp estimator of order 2 is .0011316
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5095{col 34}     2529{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.034{col 34}    6.034
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.034{col 34}    6.034
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .27483{col 33} .02561{col 43}10.7312{col 52}0.000{col 60} .224632{col 73} .325021
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .21015{col 33} .02561{col 43}8.2057{col 52}0.000{col 60} .159953{col 73} .260343
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .21015{col 33} .03218{col 43}6.5296{col 52}0.000{col 60} .147069{col 73} .273227
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est3{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}6.0339092
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}7624
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00522137
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.0011316
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(3) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -88.411{col 34}    0.005
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.005{col 34}   88.334
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       98{col 34}       98

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}   14.789{col 41}   14.789{txt}{col 50} {c |} {col 51}{res}   40.359{col 71}   40.359
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(3) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 3 is .00329545
The estimated AMSE for the bias-corrected sharp estimator of order 3 is .00081275
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(3) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6523{col 34}     2931{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   14.789{col 34}   14.789
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   14.789{col 34}   14.789
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       96{col 34}       96

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .30574{col 33} .02556{col 43}11.9632{col 52}0.000{col 60} .255651{col 73} .355832
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .25822{col 33} .02556{col 43}10.1040{col 52}0.000{col 60} .208135{col 73} .308315
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .25822{col 33} .02721{col 43}9.4885{col 52}0.000{col 60} .204885{col 73} .311564
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est4{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}14.788536
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}9454
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00329545
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00081275
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(4) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -88.411{col 34}    0.005
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.005{col 34}   88.334
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       98{col 34}       98

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}   11.193{col 41}   11.193{txt}{col 50} {c |} {col 51}{res}   26.787{col 71}   26.787
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(4) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 4 is .00284574
The estimated AMSE for the bias-corrected sharp estimator of order 4 is .0013918
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(4) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6031{col 34}     2823{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   11.193{col 34}   11.193
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   11.193{col 34}   11.193
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       96{col 34}       96

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .21379{col 33} .02946{col 43}7.2581{col 52}0.000{col 60} .156058{col 73}  .27152
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .17252{col 33} .02946{col 43}5.8569{col 52}0.000{col 60} .114785{col 73} .230247
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .17252{col 33} .03626{col 43}4.7578{col 52}0.000{col 60} .101449{col 73} .243583
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est5{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}11.193033
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}8854
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00284574
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.0013918
{txt}
{com}. 
. esttab est* using "$dir/tables/table_OA5.tex", append noomitted nonumbers nobaselevels booktabs mlabels(none) ///
>         compress lines nostar label ///
>         b(%9.3f) ci(%9.3f) stats(obs bw amse1 amse2, labels("\textit{c -(}N{c )-}" "Bandwidth" "AMSE (conventional)" "AMSE (robust)") ///
>         fmt(0 2 5 5)) keep(Conventional Robust) ///
>         nodepvars nomtitle prehead("") refcat(Conventional "\textbf{c -(}Panel C:{c )-} Denmark", nolabel) ///
>         postfoot(" ")
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA5.tex"'})

{com}.         
. est clear
{res}{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(0) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    0.265{col 41}    0.265{txt}{col 50} {c |} {col 51}{res}    3.321{col 71}    3.321
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(0) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 0 is .00637074
The estimated AMSE for the bias-corrected sharp estimator of order 0 is .00096396
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(0) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3632{col 34}     3178{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.265{col 34}    0.265
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.265{col 34}    0.265
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      392{col 34}      387

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0247{col 33} .01244{col 43}1.9856{col 52}0.047{col 60} .000318{col 73} .049084
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05195{col 33} .01244{col 43}-4.1760{col 52}0.000{col 60}-.076333{col 73}-.027568
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05195{col 33} .03069{col 43}-1.6929{col 52}0.090{col 60}-.112098{col 73} .008196
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}.26544137
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}6810
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00637074
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00096396
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    1.055{col 41}    1.055{txt}{col 50} {c |} {col 51}{res}    7.140{col 71}    7.140
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 1 is .00137763
The estimated AMSE for the bias-corrected sharp estimator of order 1 is .00041059
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21670{col 34}    12731{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.055{col 34}    1.055
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.055{col 34}    1.055
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00812{col 33} .01391{col 43}0.5836{col 52}0.560{col 60}-.019149{col 73} .035387
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  -.024{col 33} .01391{col 43}-1.7248{col 52}0.085{col 60}-.051265{col 73} .003271
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  -.024{col 33}  .0201{col 43}-1.1940{col 52}0.232{col 60} -.06339{col 73} .015396
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}1.0545802
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}34401
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00137763
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00041059
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    2.374{col 41}    2.374{txt}{col 50} {c |} {col 51}{res}   10.840{col 71}   10.840
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 2 is .00045465
The estimated AMSE for the bias-corrected sharp estimator of order 2 is .0003022
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    56506{col 34}    23341{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.374{col 34}    2.374
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.374{col 34}    2.374
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00031{col 33} .01352{col 43}-0.0230{col 52}0.982{col 60}-.026806{col 73} .026184
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01662{col 33} .01352{col 43}-1.2294{col 52}0.219{col 60}-.043113{col 73} .009876
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01662{col 33} .02016{col 43}-0.8242{col 52}0.410{col 60}-.056137{col 73}   .0229
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}2.3737257
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}79847
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00045465
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.0003022
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(3) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    4.118{col 41}    4.118{txt}{col 50} {c |} {col 51}{res}   14.917{col 71}   14.917
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(3) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 3 is .00017623
The estimated AMSE for the bias-corrected sharp estimator of order 3 is .00027279
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(3) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    76990{col 34}    31110{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.118{col 34}    4.118
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.118{col 34}    4.118
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01354{col 33} .01413{col 43}-0.9582{col 52}0.338{col 60}-.041242{col 73} .014157
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02034{col 33} .01413{col 43}-1.4393{col 52}0.150{col 60}-.048041{col 73} .007358
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02034{col 33} .01821{col 43}-1.1170{col 52}0.264{col 60}-.056035{col 73} .015352
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}4.1179044
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}108100
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00017623
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00027279
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(4) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    6.912{col 41}    6.912{txt}{col 50} {c |} {col 51}{res}   20.571{col 71}   20.571
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(4) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 4 is .00022639
The estimated AMSE for the bias-corrected sharp estimator of order 4 is .0002364
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(4) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    89931{col 34}    37095{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.912{col 34}    6.912
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.912{col 34}    6.912
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00817{col 33} .01412{col 43}-0.5786{col 52}0.563{col 60}-.035838{col 73} .019501
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02822{col 33} .01412{col 43}-1.9990{col 52}0.046{col 60} -.05589{col 73}-.000551
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02822{col 33} .01757{col 43}-1.6063{col 52}0.108{col 60}-.062655{col 73} .006214
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est5{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}6.9123689
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}127026
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00022639
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.0002364
{txt}
{com}. 
. esttab est* using "$dir/tables/table_OA5.tex", append nonumbers noomitted nobaselevels booktabs mlabels(none) ///
>         compress lines nostar label ///
>         b(%9.3f) ci(%9.3f) stats(obs bw amse1 amse2, labels("\textit{c -(}N{c )-}" "Bandwidth" "AMSE (conventional)" "AMSE (robust)") ///
>         fmt(0 2 5 5)) keep(Conventional Robust) ///
>         nodepvars nomtitle prehead(" ") refcat(Conventional "\textbf{c -(}Panel D:{c )-} Finland", nolabel) ///
>         postfoot(\bottomrule \end{c -(}tabular{c )-})
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA5.tex"'})

{com}.         
. est clear
{res}{txt}
{com}. 
{txt}end of do-file

{com}. 
. do "$dir/code/Table_OA6.do" // Table OA6
{txt}
{com}. clear all
{res}{txt}
{com}. 
. ********************************************************************************
. ********************************************************************************
. **** When Can We Trust Regression Discontinuity Design Estimates from Close ****
. *************** Elections? Evidence from Experimental Benchmarks ***************
. ********************************************************************************
. ********************************************************************************
. 
. * This file produces Table OA6 in Online Appendix C of De Magalhaes et al. 
. * (Political Analysis).
. 
. cd "$dir"
{res}/Users/jaakko/Documents/PA_replication_package
{txt}
{com}. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. ********************************************************************************
. 
. est clear
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(0) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    0.161{col 41}    0.161{txt}{col 50} {c |} {col 51}{res}    2.831{col 71}    2.831
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(0) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 0 is .00031953
The estimated AMSE for the bias-corrected sharp estimator of order 0 is .001347
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(0) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2568{col 34}     2525{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.161{col 34}    0.161
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.161{col 34}    0.161
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1924{col 34}     1918

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04851{col 33}  .0127{col 43}-3.8182{col 52}0.000{col 60}-.073411{col 73}-.023608
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06196{col 33}  .0127{col 43}-4.8771{col 52}0.000{col 60}-.086865{col 73}-.037063
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06196{col 33} .03225{col 43}-1.9216{col 52}0.055{col 60}-.125165{col 73} .001236
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}.16080498
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}5093
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00031953
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.001347
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    0.953{col 41}    0.953{txt}{col 50} {c |} {col 51}{res}    6.617{col 71}    6.617
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 1 is .0004064
The estimated AMSE for the bias-corrected sharp estimator of order 1 is .000304
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19133{col 34}    17359{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.953{col 34}    0.953
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.953{col 34}    0.953
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5207{col 34}     5203

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04595{col 33} .00989{col 43}-4.6486{col 52}0.000{col 60}-.065327{col 73}-.026578
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06059{col 33} .00989{col 43}-6.1289{col 52}0.000{col 60} -.07996{col 73}-.041211
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06059{col 33} .01591{col 43}-3.8091{col 52}0.000{col 60}-.091759{col 73}-.029412
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}.95264
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}36492
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.0004064
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.000304
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    2.565{col 41}    2.565{txt}{col 50} {c |} {col 51}{res}   10.290{col 71}   10.290
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 2 is .00037588
The estimated AMSE for the bias-corrected sharp estimator of order 2 is .00017496
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    56578{col 34}    43392{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.565{col 34}    2.565
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.565{col 34}    2.565
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5559{col 34}     5557

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03555{col 33} .00894{col 43}-3.9773{col 52}0.000{col 60}-.053061{col 73}-.018029
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05764{col 33} .00894{col 43}-6.4493{col 52}0.000{col 60}-.075153{col 73}-.040121
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05764{col 33} .01234{col 43}-4.6721{col 52}0.000{col 60}-.081816{col 73}-.033458
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}2.5653894
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}99970
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00037588
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00017496
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(3) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    5.649{col 41}    5.649{txt}{col 50} {c |} {col 51}{res}   17.229{col 71}   17.229
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(3) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 3 is .00020268
The estimated AMSE for the bias-corrected sharp estimator of order 3 is .00011439
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(3) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   143957{col 34}    75846{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.649{col 34}    5.649
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.649{col 34}    5.649
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03314{col 33} .00798{col 43}-4.1559{col 52}0.000{col 60}-.048774{col 73}-.017513
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04515{col 33} .00798{col 43}-5.6609{col 52}0.000{col 60}-.060777{col 73}-.029515
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04515{col 33}  .0102{col 43}-4.4252{col 52}0.000{col 60}-.065142{col 73}-.025151
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}5.648809
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}219803
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00020268
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00011439
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(4) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    8.751{col 41}    8.751{txt}{col 50} {c |} {col 51}{res}   21.236{col 71}   21.236
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(4) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 4 is .00016089
The estimated AMSE for the bias-corrected sharp estimator of order 4 is .00010455
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(4) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   244981{col 34}    92708{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.751{col 34}    8.751
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.751{col 34}    8.751
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0327{col 33} .00803{col 43}-4.0701{col 52}0.000{col 60}-.048445{col 73}-.016952
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04366{col 33} .00803{col 43}-5.4339{col 52}0.000{col 60}-.059402{col 73}-.027909
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04366{col 33} .00985{col 43}-4.4299{col 52}0.000{col 60} -.06297{col 73}-.024341
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est5{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}8.7510663
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}337689
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00016089
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00010455
{txt}
{com}. 
. esttab est* using "$dir/tables/table_OA6.tex", replace noomitted nobaselevels booktabs mlabels(none) ///
>         mgroups("\textit{c -(}p{c )-} = 0" "\textit{c -(}p{c )-} = 1" "\textit{c -(}p{c )-} = 2" "\textit{c -(}p{c )-} = 3" "\textit{c -(}p{c )-} = 4", pattern(1 1 1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>         compress lines nostar label ///
>         b(%9.3f) ci(%9.3f) stats(obs bw amse1 amse2, labels("\textit{c -(}N{c )-}" "Bandwidth" "AMSE (conventional)" "AMSE (robust)") ///
>         fmt(0 2 5 5)) keep(Conventional Robust) ///
>         nodepvars nomtitle prehead(\begin{c -(}tabular{c )-}{c -(}l*{c -(}6{c )-}{c -(}c{c )-}{c )-} \toprule) refcat(Conventional "\textbf{c -(}Panel A:{c )-} Brazil", nolabel) ///
>         postfoot(" ")
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/tables/table_OA6.tex{rm}
not found)
{p_end}
(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA6.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(0) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -89.116{col 34}    0.009
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.009{col 34}   86.792
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    0.436{col 41}    0.436{txt}{col 50} {c |} {col 51}{res}    5.762{col 71}    5.762
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(0) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 0 is .00266414
The estimated AMSE for the bias-corrected sharp estimator of order 0 is .00104176
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(0) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2185{col 34}     2069{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.436{col 34}    0.436
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.436{col 34}    0.436
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      841{col 34}      833

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05683{col 33} .01231{col 43}4.6157{col 52}0.000{col 60} .032701{col 73} .080968
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01428{col 33} .01231{col 43}-1.1598{col 52}0.246{col 60}-.038415{col 73} .009853
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01428{col 33} .02821{col 43}-0.5063{col 52}0.613{col 60}-.069564{col 73} .041002
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}.43627382
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}4254
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00266414
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00104176
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -89.116{col 34}    0.009
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.009{col 34}   86.792
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    2.208{col 41}    2.208{txt}{col 50} {c |} {col 51}{res}   14.683{col 71}   14.683
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 1 is .00040648
The estimated AMSE for the bias-corrected sharp estimator of order 1 is .00032655
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13079{col 34}    10539{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.208{col 34}    2.208
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.208{col 34}    2.208
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1094{col 34}     1094

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04634{col 33} .01078{col 43}4.2974{col 52}0.000{col 60} .025203{col 73} .067468
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03706{col 33} .01078{col 43}3.4374{col 52}0.001{col 60}  .01593{col 73} .058196
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03706{col 33} .01682{col 43}2.2039{col 52}0.028{col 60} .004103{col 73} .070023
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}2.208487
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}23618
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00040648
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00032655
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -89.116{col 34}    0.009
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.009{col 34}   86.792
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    4.751{col 41}    4.751{txt}{col 50} {c |} {col 51}{res}   14.240{col 71}   14.240
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 2 is .00014928
The estimated AMSE for the bias-corrected sharp estimator of order 2 is .00025512
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30045{col 34}    19257{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.751{col 34}    4.751
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.751{col 34}    4.751
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1100

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03853{col 33} .01107{col 43}3.4813{col 52}0.000{col 60} .016836{col 73} .060216
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0425{col 33} .01107{col 43}3.8401{col 52}0.000{col 60} .020806{col 73} .064186
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0425{col 33} .01522{col 43}2.7924{col 52}0.005{col 60} .012668{col 73} .072324
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}4.750565
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}49302
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00014928
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00025512
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(3) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -89.116{col 34}    0.009
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.009{col 34}   86.792
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    8.763{col 41}    8.763{txt}{col 50} {c |} {col 51}{res}   22.487{col 71}   22.487
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(3) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 3 is .00013213
The estimated AMSE for the bias-corrected sharp estimator of order 3 is .00021062
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(3) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    55573{col 34}    26821{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.763{col 34}    8.763
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.763{col 34}    8.763
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03725{col 33} .01096{col 43}3.3977{col 52}0.001{col 60}  .01576{col 73}  .05873
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03462{col 33} .01096{col 43}3.1585{col 52}0.002{col 60} .013138{col 73} .056108
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03462{col 33} .01407{col 43}2.4613{col 52}0.014{col 60} .007053{col 73} .062194
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}8.7629429
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}82394
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00013213
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00021062
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(4) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -89.116{col 34}    0.009
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.009{col 34}   86.792
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}   11.319{col 41}   11.319{txt}{col 50} {c |} {col 51}{res}   25.995{col 71}   25.995
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(4) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 4 is .00016842
The estimated AMSE for the bias-corrected sharp estimator of order 4 is .00023853
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(4) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    68901{col 34}    29342{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   11.319{col 34}   11.319
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   11.319{col 34}   11.319
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03549{col 33} .01222{col 43}2.9050{col 52}0.004{col 60} .011544{col 73} .059428
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03141{col 33} .01222{col 43}2.5711{col 52}0.010{col 60} .007465{col 73} .055349
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03141{col 33} .01508{col 43}2.0822{col 52}0.037{col 60} .001844{col 73}  .06097
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est5{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}11.319461
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}98243
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00016842
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00023853
{txt}
{com}. 
. esttab est* using "$dir/tables/table_OA6.tex", append noomitted nonumbers nobaselevels booktabs mlabels(none) ///
>         compress lines nostar label ///
>         b(%9.3f) ci(%9.3f) stats(obs bw amse1 amse2, labels("\textit{c -(}N{c )-}" "Bandwidth" "AMSE (conventional)" "AMSE (robust)") ///
>         fmt(0 2 5 5)) keep(Conventional Robust) ///
>         nodepvars nomtitle prehead("") refcat(Conventional "\textbf{c -(}Panel B:{c )-} Colombia", nolabel) ///
>         postfoot(" ")
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA6.tex"'})

{com}.         
. est clear
{res}{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(0) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -88.411{col 34}    0.005
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.005{col 34}   88.334
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       98{col 34}       98

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    1.102{col 41}    1.102{txt}{col 50} {c |} {col 51}{res}    8.645{col 71}    8.645
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(0) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 0 is .01896216
The estimated AMSE for the bias-corrected sharp estimator of order 0 is .00108146
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(0) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2120{col 34}     1165{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.102{col 34}    1.102
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.102{col 34}    1.102
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .32625{col 33} .01688{col 43}19.3227{col 52}0.000{col 60} .293153{col 73} .359337
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .17231{col 33} .01688{col 43}10.2056{col 52}0.000{col 60}  .13922{col 73} .205404
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .17231{col 33}  .0308{col 43}5.5950{col 52}0.000{col 60}  .11195{col 73} .232674
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est1{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}1.101614
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}3285
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.01896216
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00108146
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -88.411{col 34}    0.005
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.005{col 34}   88.334
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       98{col 34}       98

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    2.748{col 41}    2.748{txt}{col 50} {c |} {col 51}{res}   14.002{col 71}   14.002
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 1 is .00836611
The estimated AMSE for the bias-corrected sharp estimator of order 1 is .00100475
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3985{col 34}     1958{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.748{col 34}    2.748
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.748{col 34}    2.748
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .26914{col 33} .02163{col 43}12.4459{col 52}0.000{col 60} .226759{col 73} .311528
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .17094{col 33} .02163{col 43}7.9049{col 52}0.000{col 60}  .12856{col 73} .213328
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .17094{col 33} .02888{col 43}5.9188{col 52}0.000{col 60} .114337{col 73} .227551
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est2{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}2.7480296
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}5943
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00836611
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00100475
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -88.411{col 34}    0.005
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.005{col 34}   88.334
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       98{col 34}       98

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    4.760{col 41}    4.760{txt}{col 50} {c |} {col 51}{res}   17.617{col 71}   17.617
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 2 is .00403247
The estimated AMSE for the bias-corrected sharp estimator of order 2 is .00106643
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4735{col 34}     2346{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.760{col 34}    4.760
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.760{col 34}    4.760
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .22492{col 33} .02391{col 43}9.4083{col 52}0.000{col 60} .178065{col 73} .271778
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .16534{col 33} .02391{col 43}6.9159{col 52}0.000{col 60} .118482{col 73} .212195
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .16534{col 33} .03071{col 43}5.3841{col 52}0.000{col 60} .105151{col 73} .225526
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est3{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}4.7599706
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}7081
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00403247
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00106643
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(3) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -88.411{col 34}    0.005
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.005{col 34}   88.334
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       98{col 34}       98

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    9.021{col 41}    9.021{txt}{col 50} {c |} {col 51}{res}   24.060{col 71}   24.060
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(3) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 3 is .00203672
The estimated AMSE for the bias-corrected sharp estimator of order 3 is .00093023
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(3) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5677{col 34}     2727{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    9.021{col 34}    9.021
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    9.021{col 34}    9.021
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       95

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .21604{col 33} .02394{col 43}9.0235{col 52}0.000{col 60} .169118{col 73} .262971
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .17664{col 33} .02394{col 43}7.3776{col 52}0.000{col 60} .129711{col 73} .223564
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .17664{col 33} .03003{col 43}5.8814{col 52}0.000{col 60} .117774{col 73} .235502
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est4{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}9.0207963
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}8404
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00203672
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00093023
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(4) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -88.411{col 34}    0.005
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.005{col 34}   88.334
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       98{col 34}       98

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}   11.128{col 41}   11.128{txt}{col 50} {c |} {col 51}{res}   26.554{col 71}   26.554
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(4) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 4 is .00145397
The estimated AMSE for the bias-corrected sharp estimator of order 4 is .00106945
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(4) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6023{col 34}     2819{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   11.128{col 34}   11.128
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   11.128{col 34}   11.128
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       96{col 34}       96

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .18534{col 33} .02618{col 43}7.0805{col 52}0.000{col 60} .134035{col 73} .236643
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .16279{col 33} .02618{col 43}6.2191{col 52}0.000{col 60} .111487{col 73} .214095
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .16279{col 33} .03262{col 43}4.9907{col 52}0.000{col 60} .098859{col 73} .226724
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est5{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}11.128009
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}8842
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00145397
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00106945
{txt}
{com}. 
. esttab est* using "$dir/tables/table_OA6.tex", append noomitted nonumbers nobaselevels booktabs mlabels(none) ///
>         compress lines nostar label ///
>         b(%9.3f) ci(%9.3f) stats(obs bw amse1 amse2, labels("\textit{c -(}N{c )-}" "Bandwidth" "AMSE (conventional)" "AMSE (robust)") ///
>         fmt(0 2 5 5)) keep(Conventional Robust) ///
>         nodepvars nomtitle prehead("") refcat(Conventional "\textbf{c -(}Panel C:{c )-} Denmark", nolabel) ///
>         postfoot(" ")
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA6.tex"'})

{com}.         
. est clear
{res}{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(0) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    0.167{col 41}    0.167{txt}{col 50} {c |} {col 51}{res}    3.540{col 71}    3.540
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(0) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 0 is .00462096
The estimated AMSE for the bias-corrected sharp estimator of order 0 is .00215808
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(0) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2031{col 34}     1855{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.167{col 34}    0.167
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.167{col 34}    0.167
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      334{col 34}      328

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .07864{col 33} .01561{col 43}5.0367{col 52}0.000{col 60} .048038{col 73} .109239
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03748{col 33} .01561{col 43}-2.4006{col 52}0.016{col 60}-.068081{col 73}-.006879
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03748{col 33} .03731{col 43}-1.0045{col 52}0.315{col 60}-.110611{col 73}  .03565
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}.16695777
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}3886
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00462096
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00215808
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    0.684{col 41}    0.684{txt}{col 50} {c |} {col 51}{res}    5.541{col 71}    5.541
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 1 is .00279356
The estimated AMSE for the bias-corrected sharp estimator of order 1 is .00071413
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11826{col 34}     8524{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.684{col 34}    0.684
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.684{col 34}    0.684
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      440{col 34}      440

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05613{col 33}  .0143{col 43}3.9243{col 52}0.000{col 60} .028094{col 73} .084158
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00992{col 33}  .0143{col 43}-0.6934{col 52}0.488{col 60}-.037949{col 73} .018115
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00992{col 33} .02495{col 43}-0.3975{col 52}0.691{col 60}-.058809{col 73} .038975
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}.68378847
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}20350
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00279356
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00071413
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    2.328{col 41}    2.328{txt}{col 50} {c |} {col 51}{res}   13.239{col 71}   13.239
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 2 is .00122203
The estimated AMSE for the bias-corrected sharp estimator of order 2 is .00027989
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    55717{col 34}    23090{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.328{col 34}    2.328
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.328{col 34}    2.328
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .06654{col 33} .01148{col 43}5.7962{col 52}0.000{col 60}  .04404{col 73} .089041
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02715{col 33} .01148{col 43}2.3651{col 52}0.018{col 60} .004651{col 73} .049652
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02715{col 33} .01559{col 43}1.7414{col 52}0.082{col 60}-.003408{col 73} .057711
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}2.3283127
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}78807
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00122203
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00027989
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(3) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    5.257{col 41}    5.257{txt}{col 50} {c |} {col 51}{res}   23.114{col 71}   23.114
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(3) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 3 is .00150776
The estimated AMSE for the bias-corrected sharp estimator of order 3 is .00018581
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(3) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    83704{col 34}    34129{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.257{col 34}    5.257
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.257{col 34}    5.257
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .08765{col 33} .01117{col 43}7.8487{col 52}0.000{col 60} .065764{col 73}  .10954
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03124{col 33} .01117{col 43}2.7972{col 52}0.005{col 60}  .00935{col 73} .053126
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03124{col 33} .01288{col 43}2.4248{col 52}0.015{col 60} .005988{col 73} .056488
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}5.2565873
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}117833
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00150776
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00018581
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(4) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:cerrd}{col 19} {c |} {col 22}{res}    6.123{col 41}    6.123{txt}{col 50} {c |} {col 51}{res}   20.368{col 71}   20.368
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_cerrd)
{txt}
{com}. local b = e(b_cerrd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(4) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 4 is .00050126
The estimated AMSE for the bias-corrected sharp estimator of order 4 is .00023826
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(4) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    87274{col 34}    35867{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.123{col 34}    6.123
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.123{col 34}    6.123
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04754{col 33} .01231{col 43}3.8602{col 52}0.000{col 60} .023401{col 73} .071673
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01976{col 33} .01231{col 43}1.6049{col 52}0.109{col 60}-.004373{col 73} .043899
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01976{col 33} .01458{col 43}1.3554{col 52}0.175{col 60}-.008816{col 73} .048342
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est5{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}6.122954
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}123141
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00050126
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00023826
{txt}
{com}. 
. esttab est* using "$dir/tables/table_OA6.tex", append nonumbers noomitted nobaselevels booktabs mlabels(none) ///
>         compress lines nostar label ///
>         b(%9.3f) ci(%9.3f) stats(obs bw amse1 amse2, labels("\textit{c -(}N{c )-}" "Bandwidth" "AMSE (conventional)" "AMSE (robust)") ///
>         fmt(0 2 5 5)) keep(Conventional Robust) ///
>         nodepvars nomtitle prehead(" ") refcat(Conventional "\textbf{c -(}Panel D:{c )-} Finland", nolabel) ///
>         postfoot(\bottomrule \end{c -(}tabular{c )-})
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA6.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
{txt}end of do-file

{com}. 
. do "$dir/code/Table_OA7.do" // Table OA7
{txt}
{com}. clear all
{res}{txt}
{com}. 
. ********************************************************************************
. ********************************************************************************
. **** When Can We Trust Regression Discontinuity Design Estimates from Close ****
. *************** Elections? Evidence from Experimental Benchmarks ***************
. ********************************************************************************
. ********************************************************************************
. 
. * This file produces Table OA7 in Online Appendix C of De Magalhaes et al. 
. * (Political Analysis).
. 
. cd "$dir"
{res}/Users/jaakko/Documents/PA_replication_package
{txt}
{com}. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. ********************************************************************************
. 
. est clear
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(0) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    0.197{col 41}    0.197{txt}{col 50} {c |} {col 51}{res}    2.072{col 71}    2.072
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(0) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 0 is .00058806
The estimated AMSE for the bias-corrected sharp estimator of order 0 is .00085699
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(0) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3320{col 34}     3242{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.197{col 34}    0.197
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.197{col 34}    0.197
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     2329{col 34}     2322

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}   .095{col 33} .01154{col 43}8.2313{col 52}0.000{col 60} .072383{col 73} .117626
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08192{col 33} .01154{col 43}7.0978{col 52}0.000{col 60}   .0593{col 73} .104543
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08192{col 33} .02703{col 43}3.0313{col 52}0.002{col 60} .028953{col 73}  .13489
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}.19747073
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}6562
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00058806
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00085699
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    2.067{col 41}    2.067{txt}{col 50} {c |} {col 51}{res}    6.272{col 71}    6.272
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 1 is .00006844
The estimated AMSE for the bias-corrected sharp estimator of order 1 is .00011984
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    44763{col 34}    36158{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.067{col 34}    2.067
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.067{col 34}    2.067
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5549{col 34}     5549

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .10845{col 33} .00699{col 43}15.5082{col 52}0.000{col 60} .094745{col 73} .122157
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .10413{col 33} .00699{col 43}14.8909{col 52}0.000{col 60} .090428{col 73} .117841
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .10413{col 33} .01062{col 43}9.8062{col 52}0.000{col 60} .083321{col 73} .124948
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}2.0668095
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}80921
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00006844
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00011984
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    6.692{col 41}    6.692{txt}{col 50} {c |} {col 51}{res}   11.463{col 71}   11.463
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 2 is .00008133
The estimated AMSE for the bias-corrected sharp estimator of order 2 is .00006133
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   177424{col 34}    82947{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.692{col 34}    6.692
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.692{col 34}    6.692
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11775{col 33} .00611{col 43}19.2667{col 52}0.000{col 60} .105771{col 73} .129727
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .11148{col 33} .00611{col 43}18.2412{col 52}0.000{col 60} .099503{col 73}  .12346
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .11148{col 33} .00777{col 43}14.3552{col 52}0.000{col 60} .096261{col 73} .126702
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}6.6924171
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}260371
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00008133
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00006133
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(3) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}   12.483{col 41}   12.483{txt}{col 50} {c |} {col 51}{res}   20.612{col 71}   20.612
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(3) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 3 is .00003687
The estimated AMSE for the bias-corrected sharp estimator of order 3 is .00005171
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(3) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   345356{col 34}   102339{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   12.483{col 34}   12.483
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   12.483{col 34}   12.483
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11412{col 33} .00608{col 43}18.7755{col 52}0.000{col 60} .102205{col 73}  .12603
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .11418{col 33} .00608{col 43}18.7858{col 52}0.000{col 60} .102267{col 73} .126093
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .11418{col 33}  .0073{col 43}15.6449{col 52}0.000{col 60} .099876{col 73} .128484
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}12.483098
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}447695
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00003687
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00005171
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(4) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}   18.189{col 41}   18.189{txt}{col 50} {c |} {col 51}{res}   29.543{col 71}   29.543
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(4) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 4 is .00003687
The estimated AMSE for the bias-corrected sharp estimator of order 4 is .00005239
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(4) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   427505{col 34}   107973{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   18.189{col 34}   18.189
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   18.189{col 34}   18.189
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11309{col 33} .00637{col 43}17.7443{col 52}0.000{col 60} .100596{col 73} .125578
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .11504{col 33} .00637{col 43}18.0513{col 52}0.000{col 60} .102553{col 73} .127535
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .11504{col 33} .00741{col 43}15.5328{col 52}0.000{col 60} .100528{col 73} .129561
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est5{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}18.188564
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}535478
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00003687
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00005239
{txt}
{com}. 
. esttab est* using "$dir/tables/table_OA7.tex", replace noomitted nobaselevels booktabs mlabels(none) ///
>         mgroups("\textit{c -(}p{c )-} = 0" "\textit{c -(}p{c )-} = 1" "\textit{c -(}p{c )-} = 2" "\textit{c -(}p{c )-} = 3" "\textit{c -(}p{c )-} = 4", pattern(1 1 1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>         compress lines nostar label ///
>         b(%9.3f) ci(%9.3f) stats(obs bw amse1 amse2, labels("\textit{c -(}N{c )-}" "Bandwidth" "AMSE (conventional)" "AMSE (robust)") ///
>         fmt(0 2 5 5)) keep(Conventional Robust) ///
>         nodepvars nomtitle prehead(\begin{c -(}tabular{c )-}{c -(}l*{c -(}6{c )-}{c -(}c{c )-}{c )-} \toprule) refcat(Conventional "\textbf{c -(}Panel A:{c )-} Brazil", nolabel) ///
>         postfoot(" ")
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/tables/table_OA7.tex{rm}
not found)
{p_end}
(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA7.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(0) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -89.116{col 34}    0.009
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.009{col 34}   86.792
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    0.647{col 41}    0.647{txt}{col 50} {c |} {col 51}{res}    3.999{col 71}    3.999
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(0) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 0 is .00236815
The estimated AMSE for the bias-corrected sharp estimator of order 0 is .0008604
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(0) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3443{col 34}     3176{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.647{col 34}    0.647
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.647{col 34}    0.647
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      957{col 34}      957

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19667{col 33} .01299{col 43}15.1457{col 52}0.000{col 60} .171222{col 73} .222124
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .19661{col 33} .01299{col 43}15.1411{col 52}0.000{col 60} .171162{col 73} .222064
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .19661{col 33}  .0274{col 43}7.1767{col 52}0.000{col 60} .142918{col 73} .250308
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}.64715953
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}6619
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00236815
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.0008604
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -89.116{col 34}    0.009
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.009{col 34}   86.792
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    4.379{col 41}    4.379{txt}{col 50} {c |} {col 51}{res}   10.866{col 71}   10.866
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 1 is .00014408
The estimated AMSE for the bias-corrected sharp estimator of order 1 is .00022738
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27585{col 34}    18227{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.379{col 34}    4.379
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.379{col 34}    4.379
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19899{col 33} .01078{col 43}18.4573{col 52}0.000{col 60} .177861{col 73} .220123
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .1892{col 33} .01078{col 43}17.5490{col 52}0.000{col 60} .168068{col 73}  .21033
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .1892{col 33} .01502{col 43}12.5984{col 52}0.000{col 60} .159765{col 73} .218633
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}4.3792689
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}45812
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00014408
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00022738
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -89.116{col 34}    0.009
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.009{col 34}   86.792
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    9.753{col 41}    9.753{txt}{col 50} {c |} {col 51}{res}   17.713{col 71}   17.713
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 2 is .0002042
The estimated AMSE for the bias-corrected sharp estimator of order 2 is .00018051
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    60977{col 34}    27967{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    9.753{col 34}    9.753
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    9.753{col 34}    9.753
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .1994{col 33} .01103{col 43}18.0766{col 52}0.000{col 60} .177781{col 73} .221021
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .19181{col 33} .01103{col 43}17.3884{col 52}0.000{col 60} .170189{col 73} .213429
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .19181{col 33} .01371{col 43}13.9939{col 52}0.000{col 60} .164945{col 73} .218674
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}9.7533576
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}88944
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.0002042
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00018051
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(3) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -89.116{col 34}    0.009
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.009{col 34}   86.792
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}   14.734{col 41}   14.734{txt}{col 50} {c |} {col 51}{res}   25.035{col 71}   25.035
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(3) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 3 is .00016166
The estimated AMSE for the bias-corrected sharp estimator of order 3 is .00019007
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(3) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    82771{col 34}    31178{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   14.734{col 34}   14.734
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   14.734{col 34}   14.734
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19558{col 33} .01186{col 43}16.4927{col 52}0.000{col 60} .172342{col 73} .218828
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .19377{col 33} .01186{col 43}16.3397{col 52}0.000{col 60} .170528{col 73} .217014
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .19377{col 33} .01415{col 43}13.6945{col 52}0.000{col 60} .166038{col 73} .221503
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}14.734265
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}113949
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00016166
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00019007
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(4) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -89.116{col 34}    0.009
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.009{col 34}   86.792
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}   22.031{col 41}   22.031{txt}{col 50} {c |} {col 51}{res}   35.938{col 71}   35.938
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(4) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 4 is .00016673
The estimated AMSE for the bias-corrected sharp estimator of order 4 is .00018848
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(4) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   100201{col 34}    32806{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   22.031{col 34}   22.031
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   22.031{col 34}   22.031
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19738{col 33} .01232{col 43}16.0166{col 52}0.000{col 60} .173228{col 73} .221536
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .19268{col 33} .01232{col 43}15.6352{col 52}0.000{col 60} .168528{col 73} .216835
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .19268{col 33} .01412{col 43}13.6474{col 52}0.000{col 60}  .16501{col 73} .220354
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est5{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}22.030616
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}133007
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00016673
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00018848
{txt}
{com}. 
. esttab est* using "$dir/tables/table_OA7.tex", append noomitted nonumbers nobaselevels booktabs mlabels(none) ///
>         compress lines nostar label ///
>         b(%9.3f) ci(%9.3f) stats(obs bw amse1 amse2, labels("\textit{c -(}N{c )-}" "Bandwidth" "AMSE (conventional)" "AMSE (robust)") ///
>         fmt(0 2 5 5)) keep(Conventional Robust) ///
>         nodepvars nomtitle prehead("") refcat(Conventional "\textbf{c -(}Panel B:{c )-} Colombia", nolabel) ///
>         postfoot(" ")
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA7.tex"'})

{com}.         
. est clear
{res}{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(0) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -88.411{col 34}    0.005
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.005{col 34}   88.334
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       98{col 34}       98

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    3.811{col 41}    3.811{txt}{col 50} {c |} {col 51}{res}   16.130{col 71}   16.130
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(0) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 0 is .00554261
The estimated AMSE for the bias-corrected sharp estimator of order 0 is .00050133
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(0) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4456{col 34}     2200{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.811{col 34}    3.811
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.811{col 34}    3.811
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .37341{col 33} .01817{col 43}20.5538{col 52}0.000{col 60} .337806{col 73} .409021
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .31826{col 33} .01817{col 43}17.5182{col 52}0.000{col 60} .282656{col 73} .353872
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .31826{col 33} .02297{col 43}13.8535{col 52}0.000{col 60} .273237{col 73} .363292
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est1{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}3.8110961
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}6656
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00554261
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00050133
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -88.411{col 34}    0.005
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.005{col 34}   88.334
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       98{col 34}       98

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    7.100{col 41}    7.100{txt}{col 50} {c |} {col 51}{res}   21.783{col 71}   21.783
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 1 is .00498654
The estimated AMSE for the bias-corrected sharp estimator of order 1 is .00061889
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5335{col 34}     2612{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.100{col 34}    7.100
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.100{col 34}    7.100
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       95

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .35474{col 33} .02176{col 43}16.2989{col 52}0.000{col 60} .312083{col 73}   .3974
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .29965{col 33} .02176{col 43}13.7677{col 52}0.000{col 60} .256992{col 73} .342308
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .29965{col 33}  .0253{col 43}11.8436{col 52}0.000{col 60} .250062{col 73} .349238
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est2{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}7.1000373
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}7947
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00498654
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00061889
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -88.411{col 34}    0.005
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.005{col 34}   88.334
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       98{col 34}       98

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    8.158{col 41}    8.158{txt}{col 50} {c |} {col 51}{res}   18.716{col 71}   18.716
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 2 is .00486033
The estimated AMSE for the bias-corrected sharp estimator of order 2 is .0008861
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5529{col 34}     2684{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.158{col 34}    8.158
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.158{col 34}    8.158
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       95

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .30869{col 33}  .0251{col 43}12.3005{col 52}0.000{col 60}   .2595{col 73} .357872
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .24235{col 33}  .0251{col 43}9.6571{col 52}0.000{col 60} .193163{col 73} .291535
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .24235{col 33} .02782{col 43}8.7117{col 52}0.000{col 60} .187825{col 73} .296873
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est3{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}8.1580213
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}8213
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00486033
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.0008861
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(3) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -88.411{col 34}    0.005
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.005{col 34}   88.334
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       98{col 34}       98

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}   19.828{col 41}   19.828{txt}{col 50} {c |} {col 51}{res}   40.359{col 71}   40.359
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(3) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 3 is .00238441
The estimated AMSE for the bias-corrected sharp estimator of order 3 is .00065624
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(3) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7111{col 34}     3040{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   19.828{col 34}   19.828
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   19.828{col 34}   19.828
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       97{col 34}       97

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .33405{col 33} .02434{col 43}13.7233{col 52}0.000{col 60} .286339{col 73} .381757
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .28323{col 33} .02434{col 43}11.6357{col 52}0.000{col 60} .235524{col 73} .330942
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .28323{col 33}  .0265{col 43}10.6895{col 52}0.000{col 60} .231301{col 73} .335165
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est4{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}19.827718
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}10151
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00238441
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00065624
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(4) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -88.411{col 34}    0.005
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.005{col 34}   88.334
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       98{col 34}       98

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}   14.724{col 41}   14.724{txt}{col 50} {c |} {col 51}{res}   26.787{col 71}   26.787
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(4) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 4 is .00312518
The estimated AMSE for the bias-corrected sharp estimator of order 4 is .00110087
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(4) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6517{col 34}     2931{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   14.724{col 34}   14.724
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   14.724{col 34}   14.724
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       96{col 34}       96

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .25673{col 33} .02726{col 43}9.4167{col 52}0.000{col 60} .203296{col 73} .310166
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .20178{col 33} .02726{col 43}7.4011{col 52}0.000{col 60} .148343{col 73} .255213
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .20178{col 33} .03171{col 43}6.3636{col 52}0.000{col 60} .139631{col 73} .263925
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est5{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}14.724007
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}9448
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00312518
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00110087
{txt}
{com}. 
. esttab est* using "$dir/tables/table_OA7.tex", append noomitted nonumbers nobaselevels booktabs mlabels(none) ///
>         compress lines nostar label ///
>         b(%9.3f) ci(%9.3f) stats(obs bw amse1 amse2, labels("\textit{c -(}N{c )-}" "Bandwidth" "AMSE (conventional)" "AMSE (robust)") ///
>         fmt(0 2 5 5)) keep(Conventional Robust) ///
>         nodepvars nomtitle prehead("") refcat(Conventional "\textbf{c -(}Panel C:{c )-} Denmark", nolabel) ///
>         postfoot(" ")
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA7.tex"'})

{com}.         
. est clear
{res}{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(0) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    0.265{col 41}    0.265{txt}{col 50} {c |} {col 51}{res}    3.321{col 71}    3.321
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(0) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 0 is .00637074
The estimated AMSE for the bias-corrected sharp estimator of order 0 is .00096396
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(0) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3632{col 34}     3178{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.265{col 34}    0.265
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.265{col 34}    0.265
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      392{col 34}      387

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0247{col 33} .01244{col 43}1.9856{col 52}0.047{col 60} .000318{col 73} .049084
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05195{col 33} .01244{col 43}-4.1760{col 52}0.000{col 60}-.076333{col 73}-.027568
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05195{col 33} .03069{col 43}-1.6929{col 52}0.090{col 60}-.112098{col 73} .008196
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}.26544137
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}6810
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00637074
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00096396
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    1.481{col 41}    1.481{txt}{col 50} {c |} {col 51}{res}    7.140{col 71}    7.140
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 1 is .00170799
The estimated AMSE for the bias-corrected sharp estimator of order 1 is .00027025
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    34541{col 34}    16816{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.481{col 34}    1.481
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.481{col 34}    1.481
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0266{col 33} .01144{col 43}2.3255{col 52}0.020{col 60} .004181{col 73} .049012
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0041{col 33} .01144{col 43}-0.3584{col 52}0.720{col 60}-.026515{col 73} .018317
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0041{col 33} .01854{col 43}-0.2211{col 52}0.825{col 60}-.040436{col 73} .032237
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}1.4809798
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}51357
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00170799
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00027025
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    3.499{col 41}    3.499{txt}{col 50} {c |} {col 51}{res}   10.840{col 71}   10.840
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 2 is .00059966
The estimated AMSE for the bias-corrected sharp estimator of order 2 is .00019723
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    71641{col 34}    28920{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.499{col 34}    3.499
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.499{col 34}    3.499
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02383{col 33}  .0112{col 43}2.1266{col 52}0.033{col 60} .001868{col 73}  .04579
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0196{col 33}  .0112{col 43}-1.7495{col 52}0.080{col 60}-.041564{col 73} .002358
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0196{col 33} .01507{col 43}-1.3007{col 52}0.193{col 60}-.049141{col 73} .009935
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}3.4991866
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}100561
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00059966
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00019723
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(3) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    6.005{col 41}    6.005{txt}{col 50} {c |} {col 51}{res}   14.917{col 71}   14.917
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(3) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 3 is .00064417
The estimated AMSE for the bias-corrected sharp estimator of order 3 is .0001836
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(3) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    86825{col 34}    35651{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.005{col 34}    6.005
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.005{col 34}    6.005
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01637{col 33} .01182{col 43}1.3851{col 52}0.166{col 60}-.006796{col 73} .039544
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0177{col 33} .01182{col 43}-1.4974{col 52}0.134{col 60}-.040871{col 73} .005469
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0177{col 33} .01539{col 43}-1.1504{col 52}0.250{col 60}-.047858{col 73} .012456
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}6.0052524
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}122476
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00064417
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.0001836
{txt}
{com}. 
. rdbwselect runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(4) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    9.837{col 41}    9.837{txt}{col 50} {c |} {col 51}{res}   20.571{col 71}   20.571
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(4) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 4 is .00056401
The estimated AMSE for the bias-corrected sharp estimator of order 4 is .00016585
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(4) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    95868{col 34}    40039{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    9.837{col 34}    9.837
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    9.837{col 34}    9.837
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01578{col 33} .01176{col 43}1.3423{col 52}0.180{col 60}-.007262{col 73} .038825
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01289{col 33} .01176{col 43}-1.0960{col 52}0.273{col 60}-.035929{col 73} .010157
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01289{col 33} .01443{col 43}-0.8931{col 52}0.372{col 60}-.041164{col 73} .015392
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est5{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}9.8365312
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}135907
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00056401
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00016585
{txt}
{com}. 
. esttab est* using "$dir/tables/table_OA7.tex", append nonumbers noomitted nobaselevels booktabs mlabels(none) ///
>         compress lines nostar label ///
>         b(%9.3f) ci(%9.3f) stats(obs bw amse1 amse2, labels("\textit{c -(}N{c )-}" "Bandwidth" "AMSE (conventional)" "AMSE (robust)") ///
>         fmt(0 2 5 5)) keep(Conventional Robust) ///
>         nodepvars nomtitle prehead(" ") refcat(Conventional "\textbf{c -(}Panel D:{c )-} Finland", nolabel) ///
>         postfoot(\bottomrule \end{c -(}tabular{c )-})
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA7.tex"'})

{com}. 
{txt}end of do-file

{com}. 
. do "$dir/code/Table_OA8.do" // Table OA7
{txt}
{com}. clear all
{res}{txt}
{com}. 
. ********************************************************************************
. ********************************************************************************
. **** When Can We Trust Regression Discontinuity Design Estimates from Close ****
. *************** Elections? Evidence from Experimental Benchmarks ***************
. ********************************************************************************
. ********************************************************************************
. 
. * This file produces Table OA8 in Online Appendix C of De Magalhaes et al. 
. * (Political Analysis).
. 
. cd "$dir"
{res}/Users/jaakko/Documents/PA_replication_package
{txt}
{com}. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. ********************************************************************************
. 
. est clear
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(0) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    0.161{col 41}    0.161{txt}{col 50} {c |} {col 51}{res}    2.831{col 71}    2.831
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(0) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 0 is .00031953
The estimated AMSE for the bias-corrected sharp estimator of order 0 is .001347
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(0) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2568{col 34}     2525{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.161{col 34}    0.161
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.161{col 34}    0.161
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1924{col 34}     1918

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04851{col 33}  .0127{col 43}-3.8182{col 52}0.000{col 60}-.073411{col 73}-.023608
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06196{col 33}  .0127{col 43}-4.8771{col 52}0.000{col 60}-.086865{col 73}-.037063
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06196{col 33} .03225{col 43}-1.9216{col 52}0.055{col 60}-.125165{col 73} .001236
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}.16080498
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}5093
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00031953
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.001347
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    1.518{col 41}    1.518{txt}{col 50} {c |} {col 51}{res}    6.617{col 71}    6.617
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 1 is .00061515
The estimated AMSE for the bias-corrected sharp estimator of order 1 is .00017031
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31778{col 34}    27276{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.518{col 34}    1.518
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.518{col 34}    1.518
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5489{col 34}     5488

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02522{col 33} .00766{col 43}-3.2920{col 52}0.001{col 60}-.040242{col 73}-.010206
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05606{col 33} .00766{col 43}-7.3159{col 52}0.000{col 60}-.071074{col 73}-.041038
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05606{col 33} .01194{col 43}-4.6963{col 52}0.000{col 60}-.079451{col 73}-.032661
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}1.5179091
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}59054
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00061515
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00017031
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    4.369{col 41}    4.369{txt}{col 50} {c |} {col 51}{res}   10.290{col 71}   10.290
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 2 is .00032555
The estimated AMSE for the bias-corrected sharp estimator of order 2 is .00009371
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   105095{col 34}    64891{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.369{col 34}    4.369
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.369{col 34}    4.369
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5561

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02204{col 33} .00672{col 43}-3.2802{col 52}0.001{col 60}-.035207{col 73} -.00887
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03907{col 33} .00672{col 43}-5.8146{col 52}0.000{col 60}-.052235{col 73}-.025898
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03907{col 33}  .0092{col 43}-4.2449{col 52}0.000{col 60}-.057104{col 73}-.021029
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}4.3689057
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}169986
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00032555
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00009371
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(3) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    9.479{col 41}    9.479{txt}{col 50} {c |} {col 51}{res}   17.229{col 71}   17.229
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(3) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 3 is .00019441
The estimated AMSE for the bias-corrected sharp estimator of order 3 is .00006467
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(3) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   267459{col 34}    95217{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    9.479{col 34}    9.479
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    9.479{col 34}    9.479
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01678{col 33} .00618{col 43}-2.7147{col 52}0.007{col 60}-.028895{col 73}-.004665
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03081{col 33} .00618{col 43}-4.9849{col 52}0.000{col 60}-.042928{col 73}-.018698
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03081{col 33} .00773{col 43}-3.9852{col 52}0.000{col 60}-.045967{col 73}-.015659
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}9.4788031
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}362676
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00019441
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00006467
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(4) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}   14.199{col 41}   14.199{txt}{col 50} {c |} {col 51}{res}   21.236{col 71}   21.236
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(4) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 4 is .00016598
The estimated AMSE for the bias-corrected sharp estimator of order 4 is .00006277
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(4) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   378061{col 34}   104738{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   14.199{col 34}   14.199
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   14.199{col 34}   14.199
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5563

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01765{col 33}  .0064{col 43}-2.7583{col 52}0.006{col 60}-.030195{col 73}-.005109
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03229{col 33}  .0064{col 43}-5.0459{col 52}0.000{col 60}-.044835{col 73}-.019749
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03229{col 33}  .0077{col 43}-4.1940{col 52}0.000{col 60}-.047383{col 73}-.017201
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est5{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}14.199087
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}482799
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00016598
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00006277
{txt}
{com}. 
. esttab est* using "$dir/tables/table_OA8.tex", replace noomitted nobaselevels booktabs mlabels(none) ///
>         mgroups("\textit{c -(}p{c )-} = 0" "\textit{c -(}p{c )-} = 1" "\textit{c -(}p{c )-} = 2" "\textit{c -(}p{c )-} = 3" "\textit{c -(}p{c )-} = 4", pattern(1 1 1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) ///
>         compress lines nostar label ///
>         b(%9.3f) ci(%9.3f) stats(obs bw amse1 amse2, labels("\textit{c -(}N{c )-}" "Bandwidth" "AMSE (conventional)" "AMSE (robust)") ///
>         fmt(0 2 5 5)) keep(Conventional Robust) ///
>         nodepvars nomtitle prehead(\begin{c -(}tabular{c )-}{c -(}l*{c -(}6{c )-}{c -(}c{c )-}{c )-} \toprule) refcat(Conventional "\textbf{c -(}Panel A:{c )-} Brazil", nolabel) ///
>         postfoot(" ")
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/tables/table_OA8.tex{rm}
not found)
{p_end}
(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA8.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(0) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -89.116{col 34}    0.009
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.009{col 34}   86.792
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    0.436{col 41}    0.436{txt}{col 50} {c |} {col 51}{res}    5.762{col 71}    5.762
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(0) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 0 is .00266414
The estimated AMSE for the bias-corrected sharp estimator of order 0 is .00104176
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(0) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2185{col 34}     2069{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.436{col 34}    0.436
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.436{col 34}    0.436
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      841{col 34}      833

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05683{col 33} .01231{col 43}4.6157{col 52}0.000{col 60} .032701{col 73} .080968
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01428{col 33} .01231{col 43}-1.1598{col 52}0.246{col 60}-.038415{col 73} .009853
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01428{col 33} .02821{col 43}-0.5063{col 52}0.613{col 60}-.069564{col 73} .041002
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}.43627382
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}4254
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00266414
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00104176
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -89.116{col 34}    0.009
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.009{col 34}   86.792
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    3.245{col 41}    3.245{txt}{col 50} {c |} {col 51}{res}   14.683{col 71}   14.683
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 1 is .0001764
The estimated AMSE for the bias-corrected sharp estimator of order 1 is .00020862
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19957{col 34}    14569{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.245{col 34}    3.245
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.245{col 34}    3.245
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1098{col 34}     1098

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05175{col 33} .00885{col 43}5.8469{col 52}0.000{col 60} .034401{col 73} .069094
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03995{col 33} .00885{col 43}4.5138{col 52}0.000{col 60} .022602{col 73} .057295
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03995{col 33} .01362{col 43}2.9330{col 52}0.003{col 60} .013253{col 73} .066645
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}3.2451569
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}34526
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.0001764
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00020862
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -89.116{col 34}    0.009
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.009{col 34}   86.792
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    7.375{col 41}    7.375{txt}{col 50} {c |} {col 51}{res}   14.240{col 71}   14.240
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 2 is .00013035
The estimated AMSE for the bias-corrected sharp estimator of order 2 is .00015651
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    47276{col 34}    24887{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.375{col 34}    7.375
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.375{col 34}    7.375
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04985{col 33} .00887{col 43}5.6191{col 52}0.000{col 60} .032463{col 73} .067239
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03387{col 33} .00887{col 43}3.8179{col 52}0.000{col 60} .016483{col 73}  .05126
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03387{col 33} .01208{col 43}2.8041{col 52}0.005{col 60} .010196{col 73} .057547
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}7.3750233
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}72163
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00013035
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00015651
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(3) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -89.116{col 34}    0.009
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.009{col 34}   86.792
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}   13.439{col 41}   13.439{txt}{col 50} {c |} {col 51}{res}   22.487{col 71}   22.487
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(3) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 3 is .00014753
The estimated AMSE for the bias-corrected sharp estimator of order 3 is .00013544
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(3) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    78043{col 34}    30608{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   13.439{col 34}   13.439
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   13.439{col 34}   13.439
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04844{col 33} .00908{col 43}5.3352{col 52}0.000{col 60} .030642{col 73} .066229
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04167{col 33} .00908{col 43}4.5901{col 52}0.000{col 60} .023878{col 73} .059465
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04167{col 33} .01122{col 43}3.7136{col 52}0.000{col 60} .019678{col 73} .063665
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}13.438848
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}108651
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00014753
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00013544
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(4) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -89.116{col 34}    0.009
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.009{col 34}   86.792
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}   16.884{col 41}   16.884{txt}{col 50} {c |} {col 51}{res}   25.995{col 71}   25.995
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(4) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 4 is .00014853
The estimated AMSE for the bias-corrected sharp estimator of order 4 is .00015787
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(4) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    89455{col 34}    31892{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   16.884{col 34}   16.884
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   16.884{col 34}   16.884
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04604{col 33} .01019{col 43}4.5167{col 52}0.000{col 60} .026062{col 73} .066019
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03651{col 33} .01019{col 43}3.5817{col 52}0.000{col 60} .016531{col 73} .056488
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03651{col 33} .01217{col 43}2.9990{col 52}0.003{col 60} .012649{col 73} .060369
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est5{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}16.884126
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}121347
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00014853
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00015787
{txt}
{com}. 
. esttab est* using "$dir/tables/table_OA8.tex", append noomitted nonumbers nobaselevels booktabs mlabels(none) ///
>         compress lines nostar label ///
>         b(%9.3f) ci(%9.3f) stats(obs bw amse1 amse2, labels("\textit{c -(}N{c )-}" "Bandwidth" "AMSE (conventional)" "AMSE (robust)") ///
>         fmt(0 2 5 5)) keep(Conventional Robust) ///
>         nodepvars nomtitle prehead("") refcat(Conventional "\textbf{c -(}Panel B:{c )-} Colombia", nolabel) ///
>         postfoot(" ")
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA8.tex"'})

{com}.         
. est clear
{res}{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(0) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -88.411{col 34}    0.005
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.005{col 34}   88.334
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       98{col 34}       98

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    1.102{col 41}    1.102{txt}{col 50} {c |} {col 51}{res}    8.645{col 71}    8.645
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(0) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 0 is .01896216
The estimated AMSE for the bias-corrected sharp estimator of order 0 is .00108146
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(0) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2120{col 34}     1165{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.102{col 34}    1.102
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.102{col 34}    1.102
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .32625{col 33} .01688{col 43}19.3227{col 52}0.000{col 60} .293153{col 73} .359337
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .17231{col 33} .01688{col 43}10.2056{col 52}0.000{col 60}  .13922{col 73} .205404
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .17231{col 33}  .0308{col 43}5.5950{col 52}0.000{col 60}  .11195{col 73} .232674
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est1{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}1.101614
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}3285
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.01896216
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00108146
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -88.411{col 34}    0.005
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.005{col 34}   88.334
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       98{col 34}       98

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    3.578{col 41}    3.578{txt}{col 50} {c |} {col 51}{res}   14.002{col 71}   14.002
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 1 is .00675347
The estimated AMSE for the bias-corrected sharp estimator of order 1 is .00080856
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4377{col 34}     2153{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.578{col 34}    3.578
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.578{col 34}    3.578
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .28811{col 33} .01942{col 43}14.8353{col 52}0.000{col 60} .250042{col 73} .326168
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .1984{col 33} .01942{col 43}10.2162{col 52}0.000{col 60} .160338{col 73} .236464
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .1984{col 33} .02743{col 43}7.2327{col 52}0.000{col 60} .144637{col 73} .252165
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est2{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}3.5779495
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}6530
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00675347
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00080856
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -88.411{col 34}    0.005
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.005{col 34}   88.334
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       98{col 34}       98

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    6.436{col 41}    6.436{txt}{col 50} {c |} {col 51}{res}   17.617{col 71}   17.617
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 2 is .00330434
The estimated AMSE for the bias-corrected sharp estimator of order 2 is .00082813
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5196{col 34}     2561{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.436{col 34}    6.436
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.436{col 34}    6.436
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       93{col 34}       93

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .25159{col 33} .02224{col 43}11.3117{col 52}0.000{col 60}    .208{col 73} .295186
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .18853{col 33} .02224{col 43}8.4763{col 52}0.000{col 60} .144936{col 73} .232122
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .18853{col 33} .02706{col 43}6.9681{col 52}0.000{col 60} .135501{col 73} .241558
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est3{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}6.4356191
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}7757
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00330434
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00082813
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(3) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -88.411{col 34}    0.005
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.005{col 34}   88.334
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       98{col 34}       98

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}   12.095{col 41}   12.095{txt}{col 50} {c |} {col 51}{res}   24.060{col 71}   24.060
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(3) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 3 is .00307661
The estimated AMSE for the bias-corrected sharp estimator of order 3 is .00073024
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(3) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6156{col 34}     2859{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   12.095{col 34}   12.095
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   12.095{col 34}   12.095
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       96{col 34}       96

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .25869{col 33} .02256{col 43}11.4656{col 52}0.000{col 60} .214466{col 73} .302907
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}   .197{col 33} .02256{col 43}8.7314{col 52}0.000{col 60} .152776{col 73} .241217
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}   .197{col 33} .02549{col 43}7.7272{col 52}0.000{col 60} .147029{col 73} .246964
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est4{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}12.094626
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}9015
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00307661
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00073024
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(4) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res}  -88.411{col 34}    0.005
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.005{col 34}   88.334
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       98{col 34}       98

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}   14.638{col 41}   14.638{txt}{col 50} {c |} {col 51}{res}   26.554{col 71}   26.554
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(4) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 4 is .00234762
The estimated AMSE for the bias-corrected sharp estimator of order 4 is .00085317
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(4) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6505{col 34}     2929{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   14.638{col 34}   14.638
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   14.638{col 34}   14.638
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       96{col 34}       96

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .23077{col 33} .02417{col 43}9.5477{col 52}0.000{col 60} .183401{col 73} .278148
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .17276{col 33} .02417{col 43}7.1475{col 52}0.000{col 60} .125386{col 73} .220134
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .17276{col 33}  .0279{col 43}6.1921{col 52}0.000{col 60} .118077{col 73} .227443
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est5{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}14.638471
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}9434
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00234762
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00085317
{txt}
{com}. 
. esttab est* using "$dir/tables/table_OA8.tex", append noomitted nonumbers nobaselevels booktabs mlabels(none) ///
>         compress lines nostar label ///
>         b(%9.3f) ci(%9.3f) stats(obs bw amse1 amse2, labels("\textit{c -(}N{c )-}" "Bandwidth" "AMSE (conventional)" "AMSE (robust)") ///
>         fmt(0 2 5 5)) keep(Conventional Robust) ///
>         nodepvars nomtitle prehead("") refcat(Conventional "\textbf{c -(}Panel C:{c )-} Denmark", nolabel) ///
>         postfoot(" ")
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA8.tex"'})

{com}.         
. est clear
{res}{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(0) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    0.167{col 41}    0.167{txt}{col 50} {c |} {col 51}{res}    3.540{col 71}    3.540
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(0) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 0 is .00462096
The estimated AMSE for the bias-corrected sharp estimator of order 0 is .00215808
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(0) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2031{col 34}     1855{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        0{col 34}        0
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.167{col 34}    0.167
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.167{col 34}    0.167
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      334{col 34}      328

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .07864{col 33} .01561{col 43}5.0367{col 52}0.000{col 60} .048038{col 73} .109239
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03748{col 33} .01561{col 43}-2.4006{col 52}0.016{col 60}-.068081{col 73}-.006879
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03748{col 33} .03731{col 43}-1.0045{col 52}0.315{col 60}-.110611{col 73}  .03565
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}.16695777
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}3886
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00462096
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00215808
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    0.960{col 41}    0.960{txt}{col 50} {c |} {col 51}{res}    5.541{col 71}    5.541
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 1 is .00212604
The estimated AMSE for the bias-corrected sharp estimator of order 1 is .0004359
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18954{col 34}    11710{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.960{col 34}    0.960
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.960{col 34}    0.960
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .07014{col 33} .01137{col 43}6.1689{col 52}0.000{col 60} .047858{col 73}  .09243
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02176{col 33} .01137{col 43}1.9140{col 52}0.056{col 60}-.000522{col 73}  .04405
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02176{col 33} .01945{col 43}1.1189{col 52}0.263{col 60}-.016361{col 73} .059888
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}.96026538
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}30664
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00212604
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.0004359
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    3.432{col 41}    3.432{txt}{col 50} {c |} {col 51}{res}   13.239{col 71}   13.239
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 2 is .00235563
The estimated AMSE for the bias-corrected sharp estimator of order 2 is .00017875
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    70910{col 34}    28672{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.432{col 34}    3.432
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.432{col 34}    3.432
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .1112{col 33} .01057{col 43}10.5212{col 52}0.000{col 60} .090485{col 73} .131915
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04091{col 33} .01057{col 43}3.8704{col 52}0.000{col 60} .020192{col 73} .061622
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04091{col 33}  .0126{col 43}3.2459{col 52}0.001{col 60} .016206{col 73} .065608
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}3.4322418
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}99582
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00235563
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00017875
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(3) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    7.666{col 41}    7.666{txt}{col 50} {c |} {col 51}{res}   23.114{col 71}   23.114
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(3) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 3 is .00246284
The estimated AMSE for the bias-corrected sharp estimator of order 3 is .00012546
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(3) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    91836{col 34}    38045{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.666{col 34}    7.666
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.666{col 34}    7.666
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .12804{col 33} .01022{col 43}12.5301{col 52}0.000{col 60} .108011{col 73} .148067
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .07232{col 33} .01022{col 43}7.0769{col 52}0.000{col 60} .052287{col 73} .092344
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .07232{col 33} .01141{col 43}6.3357{col 52}0.000{col 60} .049944{col 73} .094687
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}7.6658247
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}129881
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00246284
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00012546
{txt}
{com}. 
. rdbwselect electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(4) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.

{res}Bandwidth estimators for sharp RD local polynomial regression.

{txt}{ralign 18: Cutoff c = }{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Min of rv}{col 19} {c |} {col 21}{res} -100.000{col 34}    0.002
{txt}{ralign 18:Max of rv}{col 19} {c |} {col 21}{res}   -0.002{col 34}  100.000
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 30}{c TT}{hline 29}
{col 19} {c |} {col 30}BW est. (h){col 50} {c |} {col 60}BW bias (b)
{ralign 18:Method}{col 19} {c |} {col 22}Left of {res}c{col 40}{txt}Right of {res}c{txt}{col 50} {c |} {col 53}Left of {res}c{col 70}{txt}Right of {res}c
{txt}{hline 19}{c +}{hline 30}{c +}{hline 29}
{ralign 18:mserd}{col 19} {c |} {col 22}{res}    8.713{col 41}    8.713{txt}{col 50} {c |} {col 51}{res}   20.368{col 71}   20.368
{txt}{hline 19}{c BT}{hline 30}{c BT}{hline 29}
Estimates adjusted for mass points in the running variable.
Std. Err. adjusted for clusters in constituency

{com}. local h =  e(h_mserd)
{txt}
{com}. local b = e(b_mserd)
{txt}
{com}. 
. rdmse electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(4) h(`h') b(`h')
{res}
The estimated AMSE for the conventional sharp estimator of order 4 is .00122974
The estimated AMSE for the bias-corrected sharp estimator of order 4 is .00016352
{txt}
{com}. local amse1=r(amse_cl)
{txt}
{com}. local amse2=r(amse_bc)
{txt}
{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(4) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    94012{col 34}    39099{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        5{col 34}        5
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.713{col 34}    8.713
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.713{col 34}    8.713
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0835{col 33}  .0111{col 43}7.5254{col 52}0.000{col 60} .061753{col 73} .105247
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04556{col 33}  .0111{col 43}4.1060{col 52}0.000{col 60} .023812{col 73} .067306
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04556{col 33} .01237{col 43}3.6822{col 52}0.000{col 60} .021309{col 73} .069808
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est5{txt} stored)

{com}. estadd scalar bw = `h'

{txt}added scalar:
                 e(bw) =  {res}8.7131675
{txt}
{com}. estadd scalar obs = e(N_h_l) + e(N_h_r)

{txt}added scalar:
                e(obs) =  {res}133111
{txt}
{com}. estadd scalar amse1=`amse1'

{txt}added scalar:
              e(amse1) =  {res}.00122974
{txt}
{com}. estadd scalar amse2=`amse2'

{txt}added scalar:
              e(amse2) =  {res}.00016352
{txt}
{com}. 
. esttab est* using "$dir/tables/table_OA8.tex", append nonumbers noomitted nobaselevels booktabs mlabels(none) ///
>         compress lines nostar label ///
>         b(%9.3f) ci(%9.3f) stats(obs bw amse1 amse2, labels("\textit{c -(}N{c )-}" "Bandwidth" "AMSE (conventional)" "AMSE (robust)") ///
>         fmt(0 2 5 5)) keep(Conventional Robust) ///
>         nodepvars nomtitle prehead(" ") refcat(Conventional "\textbf{c -(}Panel D:{c )-} Finland", nolabel) ///
>         postfoot(\bottomrule \end{c -(}tabular{c )-})
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA8.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
{txt}end of do-file

{com}. 
. do "$dir/code/Table_OA9.do" // Table OA9
{txt}
{com}. clear all
{res}{txt}
{com}. 
. ********************************************************************************
. ********************************************************************************
. **** When Can We Trust Regression Discontinuity Design Estimates from Close ****
. *************** Elections? Evidence from Experimental Benchmarks ***************
. ********************************************************************************
. ********************************************************************************
. 
. * This file produces Table OA9 in Online Appendix C of De Magalhaes et al. 
. * (Political Analysis).
. 
. cd "$dir"
{res}/Users/jaakko/Documents/PA_replication_package
{txt}
{com}. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. ********************************************************************************
. 
. est clear
{txt}
{com}. 
. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    276478
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   225033{col 34}    51445{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26953{col 34}    20764{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.781{col 34}    2.781
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.781{col 34}    2.781
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   176829{col 34}    43796
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5433{col 34}     5431

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11215{col 33} .00874{col 43}12.8345{col 52}0.000{col 60} .095027{col 73} .129281
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08582{col 33} .00874{col 43}9.8206{col 52}0.000{col 60}  .06869{col 73} .102944
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08582{col 33} .01308{col 43}6.5619{col 52}0.000{col 60} .060185{col 73} .111449
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:47717}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}2.7808962
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}2.7808962
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    276478
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   225033{col 34}    51445{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    90146{col 34}    40435{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.759{col 34}    7.759
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.759{col 34}    7.759
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   176829{col 34}    43796
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5553{col 34}     5553

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .10945{col 33}  .0081{col 43}13.5188{col 52}0.000{col 60} .093581{col 73} .125317
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .1105{col 33}  .0081{col 43}13.6484{col 52}0.000{col 60} .094631{col 73} .126367
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .1105{col 33} .01055{col 43}10.4764{col 52}0.000{col 60} .089826{col 73} .131171
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:130581}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}7.7587714
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}7.7587714
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    276478
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   225033{col 34}    51445{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16100{col 34}    13806{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.745{col 34}    1.745
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.745{col 34}    1.745
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   176829{col 34}    43796
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5091{col 34}     5090

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .09785{col 33} .01095{col 43}8.9369{col 52}0.000{col 60} .076391{col 73} .119311
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08939{col 33} .01095{col 43}8.1643{col 52}0.000{col 60} .067931{col 73} .110851
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08939{col 33} .01693{col 43}5.2808{col 52}0.000{col 60} .056214{col 73} .122568
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:29906}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}1.7454322
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}1.7454322
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    276478
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   225033{col 34}    51445{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    47245{col 34}    30156{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.556{col 34}    4.556
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.556{col 34}    4.556
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   176829{col 34}    43796
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5542{col 34}     5540

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11038{col 33}  .0102{col 43}10.8177{col 52}0.000{col 60} .090381{col 73} .130379
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08148{col 33}  .0102{col 43}7.9852{col 52}0.000{col 60}  .06148{col 73} .101477
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08148{col 33}  .0138{col 43}5.9051{col 52}0.000{col 60} .054435{col 73} .108522
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:77401}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}4.5563152
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}4.5563152
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/table_OA9.tex", booktabs ///
> keep(Conventional Robust) nomtitles ///
> replace  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Bandwidth")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead(\begin{c -(}tabular{c )-}{c -(}l*{c -(}5{c )-}{c -(}c{c )-}{c )-} \toprule) ///
> postfoot("") refcat(Conventional "\textbf{c -(}Panel A:{c )-} Brazil", nolabel)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/tables/table_OA9.tex{rm}
not found)
{p_end}
(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA9.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    110410
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    87631{col 34}    22779{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    23791{col 34}    13953{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.180{col 34}    5.180
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.180{col 34}    5.180
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67522{col 34}    19671
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .22654{col 33} .01174{col 43}19.2987{col 52}0.000{col 60} .203533{col 73} .249547
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .20781{col 33} .01174{col 43}17.7030{col 52}0.000{col 60} .184801{col 73} .230815
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .20781{col 33} .01641{col 43}12.6602{col 52}0.000{col 60} .175636{col 73} .239979
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:37744}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}5.1800425
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}5.1800425
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    110410
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    87631{col 34}    22779{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    58329{col 34}    20651{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   13.096{col 34}   13.096
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   13.096{col 34}   13.096
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67522{col 34}    19671
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1100

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .22042{col 33} .01174{col 43}18.7685{col 52}0.000{col 60} .197404{col 73}  .24344
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .22102{col 33} .01174{col 43}18.8198{col 52}0.000{col 60} .198006{col 73} .244043
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .22102{col 33} .01413{col 43}15.6370{col 52}0.000{col 60} .193321{col 73} .248728
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:78980}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}13.096331
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}13.096331
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    110410
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    87631{col 34}    22779{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15653{col 34}    10701{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.525{col 34}    3.525
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.525{col 34}    3.525
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67522{col 34}    19671
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1096

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .21551{col 33} .01344{col 43}16.0401{col 52}0.000{col 60}  .18918{col 73} .241848
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .21571{col 33} .01344{col 43}16.0545{col 52}0.000{col 60} .189373{col 73} .242041
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .21571{col 33}  .0198{col 43}10.8919{col 52}0.000{col 60} .176892{col 73} .254523
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:26354}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}3.5254307
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}3.5254307
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    110410
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    87631{col 34}    22779{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    39734{col 34}    17983{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.436{col 34}    8.436
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.436{col 34}    8.436
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67522{col 34}    19671
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .22921{col 33} .01339{col 43}17.1200{col 52}0.000{col 60} .202973{col 73} .255456
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .20219{col 33} .01339{col 43}15.1015{col 52}0.000{col 60} .175948{col 73} .228431
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .20219{col 33} .01708{col 43}11.8361{col 52}0.000{col 60} .168709{col 73} .235671
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:57717}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}8.4363399
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}8.4363399
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/table_OA9.tex", booktabs ///
> keep(Conventional Robust) nomtitles nonumbers ///
> append  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Bandwidth")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead("") ///
> postfoot("")    refcat(Conventional "\textbf{c -(}Panel B:{c )-} Colombia", nolabel)
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA9.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(mserd)
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      2071
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     1092{col 34}      979{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      636{col 34}      584{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.842{col 34}    4.842
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.842{col 34}    4.842
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       87{col 34}       84

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .22289{col 33} .04824{col 43}4.6203{col 52}0.000{col 60} .128341{col 73} .317447
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .14073{col 33} .04824{col 43}2.9171{col 52}0.004{col 60} .046176{col 73} .235282
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .14073{col 33}  .0665{col 43}2.1163{col 52}0.034{col 60} .010398{col 73}  .27106
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
({res}est1{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:1220}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}4.842209
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}4.842209
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(mserd)
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      2071
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     1092{col 34}      979{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      732{col 34}      647{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.728{col 34}    7.728
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.728{col 34}    7.728
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       85

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19328{col 33} .05806{col 43}3.3293{col 52}0.001{col 60} .079498{col 73}  .30707
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .09232{col 33} .05806{col 43}1.5903{col 52}0.112{col 60}-.021463{col 73} .206109
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .09232{col 33} .06958{col 43}1.3268{col 52}0.185{col 60}-.044058{col 73} .228705
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
({res}est2{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:1379}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}7.7282404
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}7.7282404
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(cerrd)
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      2071
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     1092{col 34}      979{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      583{col 34}      524{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.734{col 34}    3.734
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.734{col 34}    3.734
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       83{col 34}       82

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .2189{col 33} .05315{col 43}4.1181{col 52}0.000{col 60} .114717{col 73} .323079
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0869{col 33} .05315{col 43}1.6348{col 52}0.102{col 60}-.017282{col 73} .191081
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0869{col 33} .07224{col 43}1.2029{col 52}0.229{col 60}-.054693{col 73} .228491
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
({res}est3{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:1107}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}3.7338735
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}3.7338735
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(cerrd)
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      2071
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     1092{col 34}      979{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      671{col 34}      610{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.742{col 34}    5.742
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.742{col 34}    5.742
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       84

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .15515{col 33} .06071{col 43}2.5555{col 52}0.011{col 60} .036156{col 73} .274149
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08462{col 33} .06071{col 43}1.3938{col 52}0.163{col 60}-.034376{col 73} .203617
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08462{col 33} .07936{col 43}1.0663{col 52}0.286{col 60}-.070915{col 73} .240156
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
({res}est4{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:1281}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}5.7420956
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}5.7420956
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/table_OA9.tex", booktabs ///
> keep(Conventional Robust) nomtitles nonumbers ///
> append  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Bandwidth")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead("") ///
> postfoot("")    refcat(Conventional "\textbf{c -(}Panel C:{c )-} Denmark", nolabel)
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA9.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    32020{col 34}    16040{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.397{col 34}    1.397
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.397{col 34}    1.397
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03243{col 33} .01158{col 43}2.7996{col 52}0.005{col 60} .009726{col 73} .055134
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01346{col 33} .01158{col 43}-1.1623{col 52}0.245{col 60}-.036167{col 73}  .00924
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01346{col 33} .01951{col 43}-0.6899{col 52}0.490{col 60} -.05171{col 73} .024783
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:48060}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}1.3971933
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}1.3971933
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    70237{col 34}    28404{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.366{col 34}    3.366
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.366{col 34}    3.366
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01918{col 33} .01148{col 43}1.6711{col 52}0.095{col 60}-.003315{col 73} .041674
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01516{col 33} .01148{col 43}-1.3205{col 52}0.187{col 60} -.03765{col 73} .007339
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01516{col 33}  .0155{col 43}-0.9780{col 52}0.328{col 60}-.045528{col 73} .015217
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:98641}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}3.3662919
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}3.3662919
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19931{col 34}    12080{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.995{col 34}    0.995
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.995{col 34}    0.995
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01167{col 33} .01454{col 43}0.8022{col 52}0.422{col 60}-.016836{col 73} .040169
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03495{col 33} .01454{col 43}-2.4032{col 52}0.016{col 60}-.063451{col 73}-.006446
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03495{col 33} .02051{col 43}-1.7041{col 52}0.088{col 60}-.075146{col 73} .005248
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:32011}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}.99491736
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}.99491736
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust runningnextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    54849{col 34}    22811{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.284{col 34}    2.284
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.284{col 34}    2.284
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00145{col 33}  .0139{col 43}-0.1043{col 52}0.917{col 60}-.028697{col 73} .025796
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01679{col 33}  .0139{col 43}-1.2081{col 52}0.227{col 60} -.04404{col 73} .010453
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01679{col 33} .02088{col 43}-0.8045{col 52}0.421{col 60}-.057709{col 73} .024121
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:77660}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}2.2835746
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}2.2835746
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/table_OA9.tex", booktabs ///
> keep(Conventional Robust) nomtitles nonumbers ///
> append  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l bandwidth polynomial, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Bandwidth" "Bandwidth selector" "Polynomial")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead("") ///
> postfoot(\bottomrule \end{c -(}tabular{c )-})     refcat(Conventional "\textbf{c -(}Panel D:{c )-} Finland", nolabel)
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA9.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
{txt}end of do-file

{com}. 
. do "$dir/code/Table_OA10.do" // Table OA10
{txt}
{com}. clear all
{res}{txt}
{com}. 
. ********************************************************************************
. ********************************************************************************
. **** When Can We Trust Regression Discontinuity Design Estimates from Close ****
. *************** Elections? Evidence from Experimental Benchmarks ***************
. ********************************************************************************
. ********************************************************************************
. 
. * This file produces Table OA10 in Online Appendix C of De Magalhaes et al. 
. * (Political Analysis).
. 
. cd "$dir"
{res}/Users/jaakko/Documents/PA_replication_package
{txt}
{com}. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. ********************************************************************************
. 
. est clear
{txt}
{com}. 
. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    276478
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   225033{col 34}    51445{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17283{col 34}    14623{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.855{col 34}    1.855
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.855{col 34}    1.855
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   176829{col 34}    43796
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5164{col 34}     5163

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03171{col 33} .01062{col 43}-2.9855{col 52}0.003{col 60}-.052524{col 73}-.010892
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04551{col 33} .01062{col 43}-4.2847{col 52}0.000{col 60}-.066322{col 73} -.02469
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04551{col 33} .01662{col 43}-2.7382{col 52}0.006{col 60}-.078078{col 73}-.012934
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:31906}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}1.8552686
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}1.8552686
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    276478
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   225033{col 34}    51445{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    60147{col 34}    34218{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.580{col 34}    5.580
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.580{col 34}    5.580
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   176829{col 34}    43796
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5549{col 34}     5549

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01565{col 33} .00905{col 43}-1.7285{col 52}0.084{col 60}-.033397{col 73} .002095
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04682{col 33} .00905{col 43}-5.1707{col 52}0.000{col 60}-.064565{col 73}-.029072
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04682{col 33} .01232{col 43}-3.8013{col 52}0.000{col 60}-.070958{col 73}-.022679
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:94365}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}5.5799421
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}5.5799421
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    276478
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   225033{col 34}    51445{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10248{col 34}     9315{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.164{col 34}    1.164
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.164{col 34}    1.164
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   176829{col 34}    43796
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     4487{col 34}     4485

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0411{col 33}  .0138{col 43}-2.9778{col 52}0.003{col 60}-.068159{col 73} -.01405
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.07707{col 33}  .0138{col 43}-5.5832{col 52}0.000{col 60}-.104123{col 73}-.050014
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.07707{col 33} .02185{col 43}-3.5278{col 52}0.000{col 60}-.119885{col 73}-.034251
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:19563}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}1.1644612
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}1.1644612
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    276478
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   225033{col 34}    51445{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    32384{col 34}    23745{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.277{col 34}    3.277
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.277{col 34}    3.277
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   176829{col 34}    43796
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5489{col 34}     5487

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04892{col 33} .01205{col 43}-4.0610{col 52}0.000{col 60}-.072531{col 73} -.02531
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04966{col 33} .01205{col 43}-4.1227{col 52}0.000{col 60}-.073275{col 73}-.026054
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04966{col 33} .01676{col 43}-2.9635{col 52}0.003{col 60}-.082511{col 73}-.016818
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:56129}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}3.2768043
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}3.2768043
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/table_OA10.tex", booktabs ///
> keep(Conventional Robust) nomtitles ///
> replace  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Bandwidth")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead(\begin{c -(}tabular{c )-}{c -(}l*{c -(}5{c )-}{c -(}c{c )-}{c )-} \toprule) ///
> postfoot("") refcat(Conventional "\textbf{c -(}Panel A:{c )-} Brazil", nolabel)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/tables/table_OA10.tex{rm}
not found)
{p_end}
(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA10.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    110410
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    87631{col 34}    22779{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15449{col 34}    10605{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.488{col 34}    3.488
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.488{col 34}    3.488
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67522{col 34}    19671
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1096

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05719{col 33} .01023{col 43}5.5918{col 52}0.000{col 60} .037147{col 73} .077241
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0498{col 33} .01023{col 43}4.8685{col 52}0.000{col 60} .029749{col 73} .069843
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0498{col 33} .01618{col 43}3.0779{col 52}0.002{col 60} .018087{col 73} .081506
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:26054}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}3.4875508
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}3.4875508
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    110410
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    87631{col 34}    22779{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    40782{col 34}    18155{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.663{col 34}    8.663
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.663{col 34}    8.663
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67522{col 34}    19671
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .06428{col 33} .00997{col 43}6.4487{col 52}0.000{col 60}  .04474{col 73} .083812
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04403{col 33} .00997{col 43}4.4177{col 52}0.000{col 60} .024497{col 73} .063568
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04403{col 33} .01369{col 43}3.2160{col 52}0.001{col 60} .017197{col 73} .070868
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:58937}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}8.6632504
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}8.6632504
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    110410
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    87631{col 34}    22779{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10030{col 34}     7722{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.374{col 34}    2.374
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.374{col 34}    2.374
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67522{col 34}    19671
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1089{col 34}     1090

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0557{col 33} .01269{col 43}4.3880{col 52}0.000{col 60} .030823{col 73} .080586
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03595{col 33} .01269{col 43}2.8319{col 52}0.005{col 60}  .01107{col 73} .060832
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03595{col 33} .01999{col 43}1.7987{col 52}0.072{col 60}-.003224{col 73} .075126
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:17752}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}2.3735556
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}2.3735556
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    110410
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    87631{col 34}    22779{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25816{col 34}    14577{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.581{col 34}    5.581
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.581{col 34}    5.581
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67522{col 34}    19671
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04556{col 33} .01248{col 43}3.6497{col 52}0.000{col 60} .021093{col 73} .070023
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04598{col 33} .01248{col 43}3.6836{col 52}0.000{col 60} .021515{col 73} .070446
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04598{col 33} .01719{col 43}2.6754{col 52}0.007{col 60} .012295{col 73} .079665
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:40393}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}5.5806564
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}5.5806564
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/table_OA10.tex", booktabs ///
> keep(Conventional Robust) nomtitles nonumbers ///
> append  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Bandwidth")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead("") ///
> postfoot("")    refcat(Conventional "\textbf{c -(}Panel B:{c )-} Colombia", nolabel)
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA10.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(mserd)
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      2071
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     1092{col 34}      979{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      650{col 34}      599{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.283{col 34}    5.283
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.283{col 34}    5.283
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       84

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .26687{col 33} .03802{col 43}7.0185{col 52}0.000{col 60} .192343{col 73} .341392
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .17902{col 33} .03802{col 43}4.7081{col 52}0.000{col 60} .104493{col 73} .253543
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .17902{col 33} .05628{col 43}3.1808{col 52}0.001{col 60} .068711{col 73} .289325
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
({res}est1{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:1249}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}5.283483
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}5.283483
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(mserd)
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      2071
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     1092{col 34}      979{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      729{col 34}      646{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.639{col 34}    7.639
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.639{col 34}    7.639
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       85

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .20799{col 33}  .0477{col 43}4.3605{col 52}0.000{col 60} .114501{col 73} .301472
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .14859{col 33}  .0477{col 43}3.1153{col 52}0.002{col 60} .055108{col 73} .242079
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .14859{col 33} .06456{col 43}2.3016{col 52}0.021{col 60} .022055{col 73} .275132
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
({res}est2{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:1375}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}7.6385263
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}7.6385263
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(cerrd)
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      2071
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     1092{col 34}      979{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      604{col 34}      545{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.074{col 34}    4.074
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.074{col 34}    4.074
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       86{col 34}       83

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .24908{col 33} .04239{col 43}5.8758{col 52}0.000{col 60} .165995{col 73} .332161
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .15689{col 33} .04239{col 43}3.7011{col 52}0.000{col 60} .073807{col 73} .239973
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .15689{col 33} .06318{col 43}2.4832{col 52}0.013{col 60} .033057{col 73} .280723
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
({res}est3{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:1149}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}4.0741441
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}4.0741441
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(cerrd)
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      2071
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     1092{col 34}      979{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      670{col 34}      610{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.675{col 34}    5.675
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.675{col 34}    5.675
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       84

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19422{col 33} .05571{col 43}3.4861{col 52}0.000{col 60} .085024{col 73} .303406
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .13364{col 33} .05571{col 43}2.3988{col 52}0.016{col 60} .024449{col 73}  .24283
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .13364{col 33} .07009{col 43}1.9067{col 52}0.057{col 60}-.003732{col 73} .271011
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
({res}est4{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:1280}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}5.6754379
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}5.6754379
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/table_OA10.tex", booktabs ///
> keep(Conventional Robust) nomtitles nonumbers ///
> append  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Bandwidth")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead("") ///
> postfoot("")    refcat(Conventional "\textbf{c -(}Panel C:{c )-} Denmark", nolabel)
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA10.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17521{col 34}    11115{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.908{col 34}    0.908
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.908{col 34}    0.908
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .06462{col 33} .01163{col 43}5.5545{col 52}0.000{col 60} .041818{col 73} .087421
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02409{col 33} .01163{col 43}2.0704{col 52}0.038{col 60} .001285{col 73} .046888
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02409{col 33} .02037{col 43}1.1827{col 52}0.237{col 60}-.015829{col 73} .064002
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:28636}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}.90827045
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}.90827045
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    69566{col 34}    28141{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.308{col 34}    3.308
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.308{col 34}    3.308
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .10424{col 33} .01059{col 43}9.8403{col 52}0.000{col 60} .083475{col 73} .124998
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04169{col 33} .01059{col 43}3.9354{col 52}0.000{col 60} .020925{col 73} .062449
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04169{col 33} .01281{col 43}3.2539{col 52}0.001{col 60} .016577{col 73} .066797
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:97707}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}3.3075769
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}3.3075769
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10991{col 34}     8079{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.647{col 34}    0.647
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.647{col 34}    0.647
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      438{col 34}      437

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05491{col 33} .01487{col 43}3.6935{col 52}0.000{col 60}  .02577{col 73} .084042
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0192{col 33} .01487{col 43}-1.2914{col 52}0.197{col 60}-.048333{col 73} .009938
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0192{col 33}  .0258{col 43}-0.7440{col 52}0.457{col 60}-.069769{col 73} .031374
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:19070}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}.64676377
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}.64676377
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) covs(incumbent) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Covariate-adjusted Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    54053{col 34}    22576{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.244{col 34}    2.244
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.244{col 34}    2.244
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .06537{col 33} .01176{col 43}5.5582{col 52}0.000{col 60} .042319{col 73} .088421
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02273{col 33} .01176{col 43}1.9327{col 52}0.053{col 60}-.000321{col 73} .045782
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02273{col 33} .01572{col 43}1.4462{col 52}0.148{col 60}-.008075{col 73} .053536
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 1
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:76629}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}2.2437444
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}2.2437444
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/table_OA10.tex", booktabs ///
> keep(Conventional Robust) nomtitles nonumbers ///
> append  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l bandwidth polynomial, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Bandwidth" "Bandwidth selector" "Polynomial")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead("") ///
> postfoot(\bottomrule \end{c -(}tabular{c )-})     refcat(Conventional "\textbf{c -(}Panel D:{c )-} Finland", nolabel)
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA10.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
{txt}end of do-file

{com}. 
. do "$dir/code/Table_OA11.do" // Table OA11
{txt}
{com}. clear all
{res}{txt}
{com}. 
. ********************************************************************************
. ********************************************************************************
. **** When Can We Trust Regression Discontinuity Design Estimates from Close ****
. *************** Elections? Evidence from Experimental Benchmarks ***************
. ********************************************************************************
. ********************************************************************************
. 
. * This file produces Table OA11 in Online Appendix C of De Magalhaes et al. 
. * (Political Analysis).
. 
. cd "$dir"
{res}/Users/jaakko/Documents/PA_replication_package
{txt}
{com}. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. ********************************************************************************
. 
. * Remove 0s
. 
. gen electednextelection2 = electednextelection
{txt}(773 missing values generated)

{com}. replace electednextelection2 = . if runningnextelection == 0
{txt}(559,182 real changes made, 559,182 to missing)

{com}. 
. * Lottery results mentioned in the text
. 
. reg electednextelection2 elected if rv == 0 & country=="Colombia", cluster(constituency)

{txt}Linear regression                               Number of obs     = {res}       254
                                                {txt}F(1, 170)         =  {res}     6.87
                                                {txt}Prob > F          = {res}    0.0096
                                                {txt}R-squared         = {res}    0.0235
                                                {txt}Root MSE          =    {res} .47208

{txt}{ralign 78:(Std. err. adjusted for {res:171} clusters in {res:constituency})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}electednex~2{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}elected {c |}{col 14}{res}{space 2}-.1468813{col 26}{space 2} .0560384{col 37}{space 1}   -2.62{col 46}{space 3}0.010{col 54}{space 4} -.257502{col 67}{space 3}-.0362606
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4285714{col 26}{space 2} .0468863{col 37}{space 1}    9.14{col 46}{space 3}0.000{col 54}{space 4} .3360172{col 67}{space 3} .5211257
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg electednextelection2 elected if rv == 0 & country=="Finland", cluster(constituency)

{txt}Linear regression                               Number of obs     = {res}       820
                                                {txt}F(1, 305)         =  {res}     0.01
                                                {txt}Prob > F          = {res}    0.9402
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} .49908

{txt}{ralign 78:(Std. err. adjusted for {res:306} clusters in {res:constituency})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}electednex~2{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}elected {c |}{col 14}{res}{space 2}-.0026294{col 26}{space 2} .0349931{col 37}{space 1}   -0.08{col 46}{space 3}0.940{col 54}{space 4}-.0714878{col 67}{space 3}  .066229
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5403423{col 26}{space 2} .0242078{col 37}{space 1}   22.32{col 46}{space 3}0.000{col 54}{space 4} .4927068{col 67}{space 3} .5879778
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. * RDD results
. 
. est clear
{txt}
{com}. 
. eststo: rdrobust electednextelection2 rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    220992
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   139646{col 34}    81346{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19232{col 34}    21288{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.572{col 34}    1.572
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.572{col 34}    1.572
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   115472{col 34}    65320
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5166{col 34}     5344

Outcome: electednextelection2. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.10369{col 33} .00999{col 43}-10.3799{col 52}0.000{col 60}-.123274{col 73}-.084114
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.13912{col 33} .00999{col 43}-13.9258{col 52}0.000{col 60}-.158698{col 73}-.119538
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.13912{col 33} .01539{col 43}-9.0409{col 52}0.000{col 60}-.169277{col 73}-.108959
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:40520}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}1.5720074
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}1.5720074
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection2 rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    220992
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   139646{col 34}    81346{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    59223{col 34}    53796{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.150{col 34}    5.150
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.150{col 34}    5.150
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   115472{col 34}    65320
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5547{col 34}     5556

Outcome: electednextelection2. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09837{col 33} .00832{col 43}-11.8210{col 52}0.000{col 60}-.114678{col 73}-.082058
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.11471{col 33} .00832{col 43}-13.7851{col 52}0.000{col 60}-.131022{col 73}-.098402
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.11471{col 33} .01119{col 43}-10.2542{col 52}0.000{col 60}-.136638{col 73}-.092786
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:113019}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}5.1497999
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}5.1497999
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust electednextelection2 rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    220992
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   139646{col 34}    81346{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12052{col 34}    13643{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.987{col 34}    0.987
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.987{col 34}    0.987
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   115472{col 34}    65320
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     4602{col 34}     4890

Outcome: electednextelection2. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  -.125{col 33} .01269{col 43}-9.8514{col 52}0.000{col 60}-.149872{col 73}-.100133
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.14612{col 33} .01269{col 43}-11.5158{col 52}0.000{col 60}-.170991{col 73}-.121252
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.14612{col 33} .02039{col 43}-7.1659{col 52}0.000{col 60}-.186088{col 73}-.106155
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:25695}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}.98663644
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}.98663644
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection2 rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    220992
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   139646{col 34}    81346{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36246{col 34}    37458{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.024{col 34}    3.024
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.024{col 34}    3.024
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   115472{col 34}    65320
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5496{col 34}     5532

Outcome: electednextelection2. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.11487{col 33} .01094{col 43}-10.4968{col 52}0.000{col 60}-.136313{col 73}-.093417
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.12714{col 33} .01094{col 43}-11.6188{col 52}0.000{col 60}-.148592{col 73}-.105696
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.12714{col 33} .01478{col 43}-8.6005{col 52}0.000{col 60}-.156119{col 73}-.098169
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:73704}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}3.0240801
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}3.0240801
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/table_OA11.tex", booktabs ///
> keep(Conventional Robust) nomtitles ///
> replace  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Bandwidth" )) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead(\begin{c -(}tabular{c )-}{c -(}l*{c -(}5{c )-}{c -(}c{c )-}{c )-} \toprule) ///
> postfoot("") refcat(Conventional "\textbf{c -(}Panel A:{c )-} Brazil", nolabel)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/tables/table_OA11.tex{rm}
not found)
{p_end}
(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA11.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust electednextelection2 rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     47468
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    26895{col 34}    20573{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6735{col 34}     8306{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.887{col 34}    2.887
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.887{col 34}    2.887
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    24038{col 34}    18031
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1050{col 34}     1072

Outcome: electednextelection2. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04534{col 33} .01566{col 43}-2.8956{col 52}0.004{col 60}-.076027{col 73} -.01465
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05235{col 33} .01566{col 43}-3.3436{col 52}0.001{col 60}-.083042{col 73}-.021665
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05235{col 33} .02415{col 43}-2.1675{col 52}0.030{col 60}-.099693{col 73}-.005014
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:15041}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}2.8874296
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}2.8874296
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection2 rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     47468
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    26895{col 34}    20573{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15385{col 34}    15576{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.530{col 34}    7.530
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.530{col 34}    7.530
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    24038{col 34}    18031
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1091{col 34}     1097

Outcome: electednextelection2. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04379{col 33}  .0147{col 43}-2.9784{col 52}0.003{col 60}-.072602{col 73}-.014973
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0667{col 33}  .0147{col 43}-4.5370{col 52}0.000{col 60}-.095516{col 73}-.037887
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0667{col 33} .01973{col 43}-3.3812{col 52}0.001{col 60}-.105366{col 73}-.028037
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:30961}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}7.5299258
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}7.5299258
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust electednextelection2 rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     47468
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    26895{col 34}    20573{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4628{col 34}     5986{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.965{col 34}    1.965
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.965{col 34}    1.965
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    24038{col 34}    18031
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1004{col 34}     1047

Outcome: electednextelection2. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04341{col 33} .01926{col 43}-2.2541{col 52}0.024{col 60}-.081153{col 73}-.005664
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06892{col 33} .01926{col 43}-3.5787{col 52}0.000{col 60}-.106663{col 73}-.031174
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06892{col 33} .02973{col 43}-2.3179{col 52}0.020{col 60}-.127194{col 73}-.010643
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:10614}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}1.9652595
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}1.9652595
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection2 rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     47468
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    26895{col 34}    20573{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10782{col 34}    12187{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.851{col 34}    4.851
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.851{col 34}    4.851
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    24038{col 34}    18031
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1079{col 34}     1093

Outcome: electednextelection2. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06467{col 33}  .0183{col 43}-3.5338{col 52}0.000{col 60}-.100543{col 73}-.028803
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04584{col 33}  .0183{col 43}-2.5049{col 52}0.012{col 60}-.081712{col 73}-.009972
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04584{col 33}  .0249{col 43}-1.8408{col 52}0.066{col 60}-.094652{col 73} .002968
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:22969}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}4.8509744
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}4.8509744
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/table_OA11.tex", booktabs ///
> keep(Conventional Robust) nomtitles nonumbers ///
> append  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Bandwidth" )) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead("") ///
> postfoot("")    refcat(Conventional "\textbf{c -(}Panel B:{c )-} Colombia", nolabel)
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA11.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust electednextelection2 rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      4293
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     2069{col 34}     2224{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      974{col 34}     1239{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.075{col 34}    3.075
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.075{col 34}    3.075
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       91

Outcome: electednextelection2. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .28217{col 33} .03502{col 43}8.0579{col 52}0.000{col 60}  .21354{col 73} .350809
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .15448{col 33} .03502{col 43}4.4113{col 52}0.000{col 60} .085842{col 73} .223111
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .15448{col 33} .04751{col 43}3.2512{col 52}0.001{col 60} .061352{col 73} .247602
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est1{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:2213}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}3.0753464
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}3.0753464
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection2 rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      4293
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     2069{col 34}     2224{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1187{col 34}     1531{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.155{col 34}    6.155
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.155{col 34}    6.155
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       92

Outcome: electednextelection2. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .2395{col 33} .03713{col 43}6.4511{col 52}0.000{col 60} .166736{col 73} .312266
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .15862{col 33} .03713{col 43}4.2725{col 52}0.000{col 60} .085855{col 73} .231385
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .15862{col 33} .04677{col 43}3.3917{col 52}0.001{col 60} .066957{col 73} .250283
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est2{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:2718}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}6.1545788
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}6.1545788
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust electednextelection2 rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      4293
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     2069{col 34}     2224{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      899{col 34}     1115{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.364{col 34}    2.364
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.364{col 34}    2.364
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: electednextelection2. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .25493{col 33} .03753{col 43}6.7931{col 52}0.000{col 60} .181375{col 73} .328479
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .11822{col 33} .03753{col 43}3.1501{col 52}0.002{col 60} .044664{col 73} .191769
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .11822{col 33} .05211{col 43}2.2686{col 52}0.023{col 60} .016082{col 73} .220351
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est3{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:2014}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}2.3638296
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}2.3638296
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection2 rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      4293
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     2069{col 34}     2224{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1090{col 34}     1406{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.556{col 34}    4.556
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.556{col 34}    4.556
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       91

Outcome: electednextelection2. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19738{col 33} .04173{col 43}4.7301{col 52}0.000{col 60} .115594{col 73} .279169
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .13465{col 33} .04173{col 43}3.2268{col 52}0.001{col 60} .052863{col 73} .216438
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .13465{col 33} .05312{col 43}2.5348{col 52}0.011{col 60} .030537{col 73} .238764
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est4{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:2496}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}4.5561191
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}4.5561191
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/table_OA11.tex", booktabs ///
> keep(Conventional Robust) nomtitles nonumbers ///
> append  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Bandwidth" )) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead("") ///
> postfoot("")    refcat(Conventional "\textbf{c -(}Panel C:{c )-} Denmark", nolabel)
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA11.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust electednextelection2 rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     80195
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    48767{col 34}    31428{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12251{col 34}     8707{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.105{col 34}    1.105
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.105{col 34}    1.105
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    33072{col 34}    23486
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      438{col 34}      440

Outcome: electednextelection2. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .10423{col 33} .01643{col 43}6.3437{col 52}0.000{col 60} .072025{col 73}  .13643
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05241{col 33} .01643{col 43}3.1901{col 52}0.001{col 60} .020211{col 73} .084615
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05241{col 33} .02413{col 43}2.1720{col 52}0.030{col 60} .005116{col 73}  .09971
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:20958}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}1.1046464
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}1.1046464
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection2 rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     80195
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    48767{col 34}    31428{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30401{col 34}    17482{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.892{col 34}    2.892
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.892{col 34}    2.892
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    33072{col 34}    23486
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: electednextelection2. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .10296{col 33} .01695{col 43}6.0743{col 52}0.000{col 60} .069741{col 73} .136186
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04578{col 33} .01695{col 43}2.7008{col 52}0.007{col 60} .012557{col 73} .079002
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04578{col 33} .01939{col 43}2.3604{col 52}0.018{col 60} .007766{col 73} .083792
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:47883}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}2.8920692
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}2.8920692
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust electednextelection2 rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     80195
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    48767{col 34}    31428{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8000{col 34}     6350{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.787{col 34}    0.787
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.787{col 34}    0.787
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    33072{col 34}    23486
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      429{col 34}      434

Outcome: electednextelection2. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .07586{col 33} .01837{col 43}4.1296{col 52}0.000{col 60} .039856{col 73} .111863
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05996{col 33} .01837{col 43}3.2640{col 52}0.001{col 60} .023954{col 73} .095961
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05996{col 33} .03141{col 43}1.9088{col 52}0.056{col 60}-.001609{col 73} .121524
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:14350}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}.78668818
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}.78668818
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust electednextelection2 rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     80195
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    48767{col 34}    31428{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    23159{col 34}    13681{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.962{col 34}    1.962
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.962{col 34}    1.962
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    33072{col 34}    23486
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      444

Outcome: electednextelection2. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05904{col 33} .01807{col 43}3.2666{col 52}0.001{col 60} .023617{col 73} .094468
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04582{col 33} .01807{col 43}2.5351{col 52}0.011{col 60} .010396{col 73} .081248
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04582{col 33} .02382{col 43}1.9235{col 52}0.054{col 60}-.000868{col 73} .092512
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:36840}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}1.9621308
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}1.9621308
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/table_OA11.tex", booktabs ///
> keep(Conventional Robust) nomtitles nonumbers ///
> append  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l bandwidth polynomial, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Bandwidth" "Bandwidth selector" "Polynomial")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead("") ///
> postfoot(\bottomrule \end{c -(}tabular{c )-})     refcat(Conventional "\textbf{c -(}Panel D:{c )-} Finland", nolabel)
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA11.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
{txt}end of do-file

{com}. 
. do "$dir/code/Table_OA12.do" // Table OA12
{txt}
{com}. clear all
{res}{txt}
{com}. 
. ********************************************************************************
. ********************************************************************************
. **** When Can We Trust Regression Discontinuity Design Estimates from Close ****
. *************** Elections? Evidence from Experimental Benchmarks ***************
. ********************************************************************************
. ********************************************************************************
. 
. * This file produces Table OA12 in Online Appendix C of De Magalhaes et al. 
. * (Political Analysis).
. 
. cd "$dir"
{res}/Users/jaakko/Documents/PA_replication_package
{txt}
{com}. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. ********************************************************************************
. 
. * Lottery results mentioned in the text
. 
. reg votesharenextelection elected if rv == 0 & country=="Colombia", cluster(constituency)

{txt}Linear regression                               Number of obs     = {res}       254
                                                {txt}F(1, 170)         =  {res}     2.62
                                                {txt}Prob > F          = {res}    0.1077
                                                {txt}R-squared         = {res}    0.0066
                                                {txt}Root MSE          =    {res} 1.8682

{txt}{ralign 78:(Std. err. adjusted for {res:171} clusters in {res:constituency})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}votesharen~n{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}elected {c |}{col 14}{res}{space 2}-.3044883{col 26}{space 2} .1882892{col 37}{space 1}   -1.62{col 46}{space 3}0.108{col 54}{space 4}-.6761743{col 67}{space 3} .0671977
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.755395{col 26}{space 2} .2005243{col 37}{space 1}   13.74{col 46}{space 3}0.000{col 54}{space 4} 2.359557{col 67}{space 3} 3.151234
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg votesharenextelection elected if rv == 0 & country=="Finland", cluster(constituency)

{txt}Linear regression                               Number of obs     = {res}     1,351
                                                {txt}F(1, 326)         =  {res}     0.04
                                                {txt}Prob > F          = {res}    0.8413
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} 1.2206

{txt}{ralign 78:(Std. err. adjusted for {res:327} clusters in {res:constituency})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}votesharen~n{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}elected {c |}{col 14}{res}{space 2}  .011594{col 26}{space 2} .0578619{col 37}{space 1}    0.20{col 46}{space 3}0.841{col 54}{space 4}-.1022359{col 67}{space 3} .1254239
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.024879{col 26}{space 2} .0499712{col 37}{space 1}   20.51{col 46}{space 3}0.000{col 54}{space 4} .9265721{col 67}{space 3} 1.123186
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. * RDD results
. 
. est clear
{txt}
{com}. 
. eststo: rdrobust votesharenextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    111900
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    69046{col 34}    42854{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11647{col 34}    12920{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.773{col 34}    1.773
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.773{col 34}    1.773
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    60468{col 34}    37053
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     4435{col 34}     4761

Outcome: votesharenextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.3897{col 33} .06052{col 43}-6.4391{col 52}0.000{col 60}-.508322{col 73}-.271084
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.49513{col 33} .06052{col 43}-8.1811{col 52}0.000{col 60}-.613751{col 73}-.376512
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.49513{col 33} .08281{col 43}-5.9794{col 52}0.000{col 60} -.65743{col 73}-.332833
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:24567}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}1.7733115
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}1.7733115
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust votesharenextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    111900
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    69046{col 34}    42854{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36522{col 34}    31490{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.100{col 34}    6.100
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.100{col 34}    6.100
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    60468{col 34}    37053
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5409{col 34}     5503

Outcome: votesharenextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.39846{col 33} .05342{col 43}-7.4584{col 52}0.000{col 60}-.503166{col 73}-.293748
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.41999{col 33} .05342{col 43}-7.8615{col 52}0.000{col 60}-.524699{col 73}-.315281
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.41999{col 33} .06487{col 43}-6.4745{col 52}0.000{col 60} -.54713{col 73} -.29285
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:68012}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}6.1002173
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}6.1002173
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust votesharenextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    111900
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    69046{col 34}    42854{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7443{col 34}     8458{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.113{col 34}    1.113
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.113{col 34}    1.113
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    60468{col 34}    37053
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     3691{col 34}     4083

Outcome: votesharenextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.46607{col 33} .07122{col 43}-6.5443{col 52}0.000{col 60} -.60565{col 73}-.326483
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.56217{col 33} .07122{col 43}-7.8938{col 52}0.000{col 60}-.701757{col 73} -.42259
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.56217{col 33} .10552{col 43}-5.3278{col 52}0.000{col 60}-.768984{col 73}-.355364
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:15901}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}1.1133423
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}1.1133423
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust votesharenextelection rv if rv!=0 & rv!=. & country=="Brazil", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    111900
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    69046{col 34}    42854{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    22721{col 34}    22871{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.584{col 34}    3.584
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.584{col 34}    3.584
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    60468{col 34}    37053
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5212{col 34}     5374

Outcome: votesharenextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.42101{col 33}  .0632{col 43}-6.6614{col 52}0.000{col 60}-.544876{col 73}-.297134
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.46711{col 33}  .0632{col 43}-7.3910{col 52}0.000{col 60}-.590983{col 73}-.343242
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.46711{col 33} .07875{col 43}-5.9312{col 52}0.000{col 60}-.621468{col 73}-.312756
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:45592}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}3.5835174
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}3.5835174
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/table_OA12.tex", booktabs ///
> keep(Conventional Robust) nomtitles ///
> replace  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Bandwidth" )) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead(\begin{c -(}tabular{c )-}{c -(}l*{c -(}5{c )-}{c -(}c{c )-}{c )-} \toprule) ///
> postfoot("") refcat(Conventional "\textbf{c -(}Panel A:{c )-} Brazil", nolabel)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/tables/table_OA12.tex{rm}
not found)
{p_end}
(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA12.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust votesharenextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     47445
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    26889{col 34}    20556{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7720{col 34}     9311{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.326{col 34}    3.326
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.326{col 34}    3.326
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    24034{col 34}    18017
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1065{col 34}     1082

Outcome: votesharenextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.13427{col 33} .07102{col 43}-1.8906{col 52}0.059{col 60}-.273462{col 73} .004929
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.13943{col 33} .07102{col 43}-1.9633{col 52}0.050{col 60}-.278628{col 73}-.000236
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.13943{col 33} .09354{col 43}-1.4906{col 52}0.136{col 60}-.322764{col 73}   .0439
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:17031}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}3.3255717
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}3.3255717
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust votesharenextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     47445
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    26889{col 34}    20556{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16190{col 34}    16108{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.133{col 34}    8.133
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.133{col 34}    8.133
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    24034{col 34}    18017
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1091{col 34}     1098

Outcome: votesharenextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.14396{col 33} .07025{col 43}-2.0493{col 52}0.040{col 60}-.281646{col 73}-.006278
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.14001{col 33} .07025{col 43}-1.9930{col 52}0.046{col 60}-.277691{col 73}-.002323
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.14001{col 33} .08521{col 43}-1.6432{col 52}0.100{col 60}-.307008{col 73} .026994
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:32298}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}8.1330527
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}8.1330527
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust votesharenextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     47445
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    26889{col 34}    20556{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5330{col 34}     6772{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.263{col 34}    2.263
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.263{col 34}    2.263
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    24034{col 34}    18017
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1032{col 34}     1061

Outcome: votesharenextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.11929{col 33} .07907{col 43}-1.5088{col 52}0.131{col 60}-.274261{col 73} .035673
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.12501{col 33} .07907{col 43}-1.5811{col 52}0.114{col 60} -.27998{col 73} .029955
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.12501{col 33} .11035{col 43}-1.1328{col 52}0.257{col 60}-.341303{col 73} .091278
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:12102}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}2.2634704
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}2.2634704
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust votesharenextelection rv if rv!=0 & rv!=. & country=="Colombia", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     47445
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    26889{col 34}    20556{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11553{col 34}    12768{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.240{col 34}    5.240
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.240{col 34}    5.240
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    24034{col 34}    18017
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1084{col 34}     1094

Outcome: votesharenextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.14554{col 33} .08088{col 43}-1.7994{col 52}0.072{col 60}-.304061{col 73} .012983
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.17044{col 33} .08088{col 43}-2.1074{col 52}0.035{col 60}-.328965{col 73}-.011922
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.17044{col 33} .09846{col 43}-1.7311{col 52}0.083{col 60}-.363421{col 73} .022535
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:24321}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}5.2395244
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}5.2395244
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/table_OA11.tex", booktabs ///
> keep(Conventional Robust) nomtitles nonumbers ///
> append  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Bandwidth" )) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead("") ///
> postfoot("")    refcat(Conventional "\textbf{c -(}Panel B:{c )-} Colombia", nolabel)
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA11.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust votesharenextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      2068
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     1114{col 34}      954{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      502{col 34}      576{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.570{col 34}    3.570
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.570{col 34}    3.570
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       79{col 34}       78

Outcome: votesharenextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .61754{col 33}  .2681{col 43}2.3034{col 52}0.021{col 60} .092075{col 73}   1.143
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .83352{col 33}  .2681{col 43}3.1090{col 52}0.002{col 60} .308058{col 73} 1.35898
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .83352{col 33}  .3281{col 43}2.5405{col 52}0.011{col 60} .190461{col 73} 1.47658
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est1{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:1078}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}3.5696698
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}3.5696698
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust votesharenextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      2068
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     1114{col 34}      954{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      620{col 34}      697{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.092{col 34}    8.092
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.092{col 34}    8.092
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       81{col 34}       83

Outcome: votesharenextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .43602{col 33} .28254{col 43}1.5432{col 52}0.123{col 60}-.117747{col 73} .989784
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .81633{col 33} .28254{col 43}2.8893{col 52}0.004{col 60} .262567{col 73}  1.3701
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .81633{col 33}  .3344{col 43}2.4412{col 52}0.015{col 60} .160919{col 73} 1.47175
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est2{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:1317}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}8.0915817
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}8.0915817
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust votesharenextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      2068
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     1114{col 34}      954{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      462{col 34}      534{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.757{col 34}    2.757
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.757{col 34}    2.757
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       78{col 34}       77

Outcome: votesharenextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .75413{col 33} .27752{col 43}2.7174{col 52}0.007{col 60} .210203{col 73} 1.29805
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .60789{col 33} .27752{col 43}2.1904{col 52}0.028{col 60} .063963{col 73} 1.15181
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .60789{col 33} .33932{col 43}1.7915{col 52}0.073{col 60}-.057163{col 73} 1.27293
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est3{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:996}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}2.75725
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}2.75725
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust votesharenextelection rv if rv!=0 & rv!=. & country=="Denmark", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      2068
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     1114{col 34}      954{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      568{col 34}      662{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.024{col 34}    6.024
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.024{col 34}    6.024
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       81{col 34}       82

Outcome: votesharenextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .65272{col 33} .29281{col 43}2.2291{col 52}0.026{col 60}  .07881{col 73} 1.22662
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .87978{col 33} .29281{col 43}3.0046{col 52}0.003{col 60} .305872{col 73} 1.45368
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .87978{col 33} .37787{col 43}2.3283{col 52}0.020{col 60} .139168{col 73} 1.62039
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est4{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:1230}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}6.0236513
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}6.0236513
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/table_OA11.tex", booktabs ///
> keep(Conventional Robust) nomtitles nonumbers ///
> append  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Bandwidth" )) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead("") ///
> postfoot("")    refcat(Conventional "\textbf{c -(}Panel C:{c )-} Denmark", nolabel)
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA11.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust votesharenextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18426{col 34}    11502{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.941{col 34}    0.941
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.941{col 34}    0.941
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: votesharenextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03449{col 33} .03574{col 43}0.9650{col 52}0.335{col 60}-.035556{col 73} .104532
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02473{col 33} .03574{col 43}-0.6920{col 52}0.489{col 60}-.094773{col 73} .045315
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02473{col 33} .04251{col 43}-0.5817{col 52}0.561{col 60} -.10805{col 73} .058592
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:29928}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}.94089865
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}.94089865
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust votesharenextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    64408{col 34}    26123{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.873{col 34}    2.873
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.873{col 34}    2.873
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: votesharenextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04239{col 33}  .0396{col 43}1.0704{col 52}0.284{col 60}-.035227{col 73} .120002
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01501{col 33}  .0396{col 43}-0.3791{col 52}0.705{col 60}-.092628{col 73}   .0626
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01501{col 33} .03855{col 43}-0.3895{col 52}0.697{col 60}-.090568{col 73}  .06054
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:90531}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}2.873134
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}2.873134
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust votesharenextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(1) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11507{col 34}     8354{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.670{col 34}    0.670
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.670{col 34}    0.670
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      440{col 34}      439

Outcome: votesharenextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01945{col 33}  .0378{col 43}0.5146{col 52}0.607{col 60}-.054627{col 73} .093528
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05955{col 33}  .0378{col 43}-1.5755{col 52}0.115{col 60}-.133626{col 73} .014529
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05955{col 33} .04879{col 43}-1.2205{col 52}0.222{col 60}-.155175{col 73} .036078
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:19861}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}.66999775
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}.66999775
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust votesharenextelection rv if rv!=0 & rv!=. & country=="Finland", c(0) p(2) all rho(1) vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    47499{col 34}    20552{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.949{col 34}    1.949
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.949{col 34}    1.949
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: votesharenextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00215{col 33} .03763{col 43}0.0571{col 52}0.954{col 60}-.071614{col 73} .075911
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01861{col 33} .03763{col 43}-0.4946{col 52}0.621{col 60}-.092375{col 73}  .05515
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01861{col 33}  .0411{col 43}-0.4529{col 52}0.651{col 60}-.099163{col 73} .061938
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw1 =  e(h_l)
{txt}
{com}. scalar bw2 =  e(b_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:68051}"

{com}. estadd scalar bw1

{txt}added scalar:
                e(bw1) =  {res}1.9490336
{txt}
{com}. estadd scalar bw2

{txt}added scalar:
                e(bw2) =  {res}1.9490336
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/table_OA12.tex", booktabs ///
> keep(Conventional Robust) nomtitles nonumbers ///
> append  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l bandwidth polynomial, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Bandwidth" "Bandwidth selector" "Polynomial")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead("") ///
> postfoot(\bottomrule \end{c -(}tabular{c )-})     refcat(Conventional "\textbf{c -(}Panel D:{c )-} Finland", nolabel)
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA12.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
{txt}end of do-file

{com}. 
. * Online Appendix D
. 
. do "$dir/code/Figure_OA5.do" // Figure OA5
{txt}
{com}. clear all
{res}{txt}
{com}. 
. ********************************************************************************
. ********************************************************************************
. **** When Can We Trust Regression Discontinuity Design Estimates from Close ****
. *************** Elections? Evidence from Experimental Benchmarks ***************
. ********************************************************************************
. ********************************************************************************
. 
. * This file produces Figure OA5 in Online Appendix D of De Magalhaes et al. 
. * (Political Analysis).
. 
. cd "$dir"
{res}/Users/jaakko/Documents/PA_replication_package
{txt}
{com}. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. ********************************************************************************
. 
. cd "$dir/temp/"
{res}/Users/jaakko/Documents/PA_replication_package/temp
{txt}
{com}. 
. // p = 1, MSE-optimal bandwidths
. 
. levelsof country, local(election)
{res}{txt}`"Brazil"' `"Colombia"' `"Denmark"' `"Finland"'

{com}.                 foreach x of local election {c -(}
{txt}  2{com}.                 preserve
{txt}  3{com}.                 forvalues i=-300(10)300 {c -(}
{txt}  4{com}.                         local k = `i'/100
{txt}  5{com}.                         rdrobust runningnextelection rv if rv!=0 & country=="`x'", all rho(1) c(`k') vce(cluster constituency) kernel(uniform) bwselect(mserd)
{txt}  6{com}.                         parmest, saving("fake`i'`x'.dta", replace)
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}. 
.                 forvalues i=-300(10)300 {c -(}
{txt}  9{com}. 
.                         use fake`i'`x'.dta, clear
{txt} 10{com}.                         gen cutoff =`i'/100
{txt} 11{com}.                         save, replace
{txt} 12{com}.                         sleep 500
{txt} 13{com}.                 {c )-}
{txt} 14{com}.                 restore
{txt} 15{com}.                 {c )-}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   417254{col 34}   179006{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    45374{col 34}    39823{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.649{col 34}    1.649
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.649{col 34}    1.649
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   282598{col 34}   131787
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5511{col 34}     5503

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00739{col 33} .00747{col 43}0.9886{col 52}0.323{col 60}-.007256{col 73} .022026
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01411{col 33} .00747{col 43}1.8890{col 52}0.059{col 60} -.00053{col 73} .028752
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01411{col 33} .01057{col 43}1.3346{col 52}0.182{col 60}-.006612{col 73} .034833
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-300Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-300Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   419929{col 34}   176331{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    47338{col 34}    41062{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.724{col 34}    1.724
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.724{col 34}    1.724
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   284414{col 34}   129971
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5518{col 34}     5517

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00932{col 33} .00734{col 43}1.2706{col 52}0.204{col 60}-.005058{col 73} .023702
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01737{col 33} .00734{col 43}2.3678{col 52}0.018{col 60} .002992{col 73} .031753
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01737{col 33} .01047{col 43}1.6586{col 52}0.097{col 60}-.003156{col 73} .037901
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-290Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-290Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   422470{col 34}   173790{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    55771{col 34}    47120{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.023{col 34}    2.023
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.023{col 34}    2.023
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   286147{col 34}   128238
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5536{col 34}     5543

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00176{col 33} .00699{col 43}-0.2523{col 52}0.801{col 60}-.015473{col 73} .011944
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01152{col 33} .00699{col 43}1.6464{col 52}0.100{col 60}-.002193{col 73} .025224
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01152{col 33} .00968{col 43}1.1894{col 52}0.234{col 60} -.00746{col 73}  .03049
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-280Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-280Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   425024{col 34}   171236{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    67826{col 34}    55320{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.437{col 34}    2.437
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.437{col 34}    2.437
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   287869{col 34}   126516
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5546{col 34}     5559

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00321{col 33} .00667{col 43}-0.4806{col 52}0.631{col 60}-.016286{col 73} .009873
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00671{col 33} .00667{col 43}1.0057{col 52}0.315{col 60}-.006368{col 73} .019791
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00671{col 33} .00893{col 43}0.7513{col 52}0.452{col 60}-.010796{col 73} .024219
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-270Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-270Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   427590{col 34}   168670{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    56783{col 34}    47556{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.084{col 34}    2.084
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.084{col 34}    2.084
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   289607{col 34}   124778
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5533{col 34}     5550

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01087{col 33} .00707{col 43}-1.5377{col 52}0.124{col 60}-.024729{col 73} .002985
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00391{col 33} .00707{col 43}0.5532{col 52}0.580{col 60}-.009946{col 73} .017768
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00391{col 33} .00957{col 43}0.4088{col 52}0.683{col 60}-.014839{col 73} .022661
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-260Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-260Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   429942{col 34}   166318{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    42969{col 34}    37584{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.625{col 34}    1.625
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.625{col 34}    1.625
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   291259{col 34}   123126
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5495{col 34}     5512

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01039{col 33} .00769{col 43}-1.3503{col 52}0.177{col 60}-.025467{col 73} .004691
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00109{col 33} .00769{col 43}-0.1411{col 52}0.888{col 60}-.016164{col 73} .013994
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00109{col 33} .01082{col 43}-0.1003{col 52}0.920{col 60}-.022288{col 73} .020117
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-250Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-250Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   432367{col 34}   163893{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36834{col 34}    32879{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.419{col 34}    1.419
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.419{col 34}    1.419
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   292951{col 34}   121434
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5457{col 34}     5480

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01033{col 33} .00814{col 43}-1.2694{col 52}0.204{col 60}-.026276{col 73} .005619
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00591{col 33} .00814{col 43}0.7259{col 52}0.468{col 60}-.010041{col 73} .021854
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00591{col 33} .01162{col 43}0.5084{col 52}0.611{col 60}-.016865{col 73} .028679
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-240Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-240Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   434827{col 34}   161433{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    33344{col 34}    29957{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.298{col 34}    1.298
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.298{col 34}    1.298
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   294623{col 34}   119762
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5446{col 34}     5444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00483{col 33} .00859{col 43}-0.5628{col 52}0.574{col 60}-.021666{col 73} .011999
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01842{col 33} .00859{col 43}2.1453{col 52}0.032{col 60} .001592{col 73} .035257
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01842{col 33} .01235{col 43}1.4913{col 52}0.136{col 60} -.00579{col 73} .042639
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-230Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-230Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   437158{col 34}   159102{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    29860{col 34}    27336{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.185{col 34}    1.185
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.185{col 34}    1.185
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   296222{col 34}   118163
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5401{col 34}     5410

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01271{col 33} .00906{col 43}-1.4022{col 52}0.161{col 60}-.030465{col 73} .005054
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00745{col 33} .00906{col 43}0.8220{col 52}0.411{col 60}-.010311{col 73} .025208
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00745{col 33} .01305{col 43}0.5706{col 52}0.568{col 60}-.018137{col 73} .033033
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-220Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-220Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   439473{col 34}   156787{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27558{col 34}    25538{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.109{col 34}    1.109
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.109{col 34}    1.109
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   297810{col 34}   116575
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5377{col 34}     5373

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01851{col 33} .00949{col 43}-1.9507{col 52}0.051{col 60}-.037112{col 73} .000088
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0043{col 33} .00949{col 43}0.4533{col 52}0.650{col 60}-.014298{col 73} .022902
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0043{col 33} .01327{col 43}0.3243{col 52}0.746{col 60}-.021697{col 73} .030302
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-210Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-210Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   441746{col 34}   154514{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26465{col 34}    24748{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.077{col 34}    1.077
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.077{col 34}    1.077
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   299412{col 34}   114973
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5360{col 34}     5371

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01781{col 33} .00965{col 43}-1.8462{col 52}0.065{col 60}-.036716{col 73} .001098
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00628{col 33} .00965{col 43}-0.6509{col 52}0.515{col 60}-.025185{col 73} .012628
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00628{col 33} .01363{col 43}-0.4608{col 52}0.645{col 60}-.032984{col 73} .020427
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-200Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-200Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   444204{col 34}   152056{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25926{col 34}    24067{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.062{col 34}    1.062
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.062{col 34}    1.062
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   301070{col 34}   113315
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5351{col 34}     5343

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01378{col 33} .01007{col 43}-1.3688{col 52}0.171{col 60} -.03352{col 73} .005953
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01189{col 33} .01007{col 43}-1.1806{col 52}0.238{col 60}-.031625{col 73} .007848
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01189{col 33} .01408{col 43}-0.8443{col 52}0.399{col 60}-.039487{col 73} .015711
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-190Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-190Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   446600{col 34}   149660{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25829{col 34}    23894{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.066{col 34}    1.066
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.066{col 34}    1.066
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   302667{col 34}   111718
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5363{col 34}     5349

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00978{col 33} .01029{col 43}-0.9497{col 52}0.342{col 60}-.029949{col 73} .010399
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00815{col 33} .01029{col 43}-0.7919{col 52}0.428{col 60}-.028325{col 73} .012023
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00815{col 33} .01465{col 43}-0.5565{col 52}0.578{col 60}-.036858{col 73} .020557
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-180Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-180Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   449030{col 34}   147230{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25740{col 34}    23643{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.067{col 34}    1.067
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.067{col 34}    1.067
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   304324{col 34}   110061
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5358{col 34}     5348

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00338{col 33}  .0103{col 43}-0.3286{col 52}0.742{col 60}-.023571{col 73} .016802
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00337{col 33}  .0103{col 43}-0.3271{col 52}0.744{col 60}-.023555{col 73} .016818
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00337{col 33} .01471{col 43}-0.2290{col 52}0.819{col 60}-.032203{col 73} .025466
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-170Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-170Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   451305{col 34}   144955{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26062{col 34}    23993{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.092{col 34}    1.092
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.092{col 34}    1.092
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   305923{col 34}   108462
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5370{col 34}     5377

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01557{col 33} .01024{col 43}1.5201{col 52}0.128{col 60}-.004504{col 73} .035636
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01525{col 33} .01024{col 43}1.4892{col 52}0.136{col 60}-.004821{col 73} .035319
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01525{col 33} .01491{col 43}1.0228{col 52}0.306{col 60}-.013973{col 73} .044471
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-160Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-160Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   453634{col 34}   142626{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26087{col 34}    23944{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.102{col 34}    1.102
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.102{col 34}    1.102
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   307533{col 34}   106852
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5380{col 34}     5375

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01236{col 33} .01017{col 43}1.2159{col 52}0.224{col 60}-.007564{col 73} .032288
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00033{col 33} .01017{col 43}0.0326{col 52}0.974{col 60}-.019594{col 73} .020258
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00033{col 33} .01437{col 43}0.0231{col 52}0.982{col 60}-.027828{col 73} .028492
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-150Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-150Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   455997{col 34}   140263{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26775{col 34}    24222{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.131{col 34}    1.131
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.131{col 34}    1.131
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   309168{col 34}   105217
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5386{col 34}     5394

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01307{col 33} .00998{col 43}1.3100{col 52}0.190{col 60}-.006486{col 73}  .03263
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00624{col 33} .00998{col 43}-0.6251{col 52}0.532{col 60}-.025795{col 73}  .01332
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00624{col 33}  .0141{col 43}-0.4423{col 52}0.658{col 60}-.033876{col 73} .021402
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-140Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-140Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   458277{col 34}   137983{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27669{col 34}    24828{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.174{col 34}    1.174
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.174{col 34}    1.174
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   310746{col 34}   103639
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5397{col 34}     5413

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0066{col 33} .00967{col 43}0.6827{col 52}0.495{col 60}-.012354{col 73} .025561
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00803{col 33} .00967{col 43}-0.8301{col 52}0.407{col 60}-.026986{col 73} .010929
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00803{col 33}  .0136{col 43}-0.5902{col 52}0.555{col 60}-.034691{col 73} .018634
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-130Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-130Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   460455{col 34}   135805{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31135{col 34}    26395{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.326{col 34}    1.326
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.326{col 34}    1.326
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   312256{col 34}   102129
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5447{col 34}     5388

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00352{col 33} .00907{col 43}-0.3884{col 52}0.698{col 60}-.021298{col 73} .014252
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02448{col 33} .00907{col 43}2.6989{col 52}0.007{col 60} .006701{col 73} .042252
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02448{col 33} .01274{col 43}1.9211{col 52}0.055{col 60}-.000495{col 73} .049449
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-120Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-120Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   462704{col 34}   133556{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30706{col 34}    25859{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.315{col 34}    1.315
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.315{col 34}    1.315
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   313770{col 34}   100615
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5450{col 34}     5319

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01249{col 33} .00891{col 43}-1.4018{col 52}0.161{col 60}-.029951{col 73} .004973
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0194{col 33} .00891{col 43}2.1777{col 52}0.029{col 60} .001939{col 73} .036863
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0194{col 33} .01278{col 43}1.5182{col 52}0.129{col 60}-.005645{col 73} .044447
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-110Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-110Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   464822{col 34}   131438{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    29377{col 34}    24902{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.273{col 34}    1.273
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.273{col 34}    1.273
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   315242{col 34}    99143
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5440{col 34}     5252

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  -.019{col 33} .00911{col 43}-2.0858{col 52}0.037{col 60}-.036853{col 73}-.001147
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01052{col 33} .00911{col 43}1.1551{col 52}0.248{col 60}-.007331{col 73} .028375
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01052{col 33} .01292{col 43}0.8143{col 52}0.415{col 60}-.014802{col 73} .035846
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-100Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-100Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   466962{col 34}   129298{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28052{col 34}    23733{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.224{col 34}    1.224
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.224{col 34}    1.224
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   316702{col 34}    97683
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5434{col 34}     5150

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02507{col 33} .00904{col 43}-2.7715{col 52}0.006{col 60}-.042795{col 73} -.00734
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00902{col 33} .00904{col 43}0.9976{col 52}0.318{col 60}-.008705{col 73}  .02675
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00902{col 33} .01304{col 43}0.6920{col 52}0.489{col 60}-.016533{col 73} .034578
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-90Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-90Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   469107{col 34}   127153{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27790{col 34}    23484{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.221{col 34}    1.221
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.221{col 34}    1.221
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   318169{col 34}    96216
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5421{col 34}     5018

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02686{col 33} .00895{col 43}-3.0015{col 52}0.003{col 60}-.044406{col 73}-.009322
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00188{col 33} .00895{col 43}0.2104{col 52}0.833{col 60}-.015659{col 73} .019425
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00188{col 33} .01309{col 43}0.1439{col 52}0.886{col 60}-.023763{col 73}  .02753
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-80Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-80Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   471184{col 34}   125076{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28026{col 34}    23698{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.243{col 34}    1.243
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.243{col 34}    1.243
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   319643{col 34}    94742
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5429{col 34}     4865

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03054{col 33} .00887{col 43}-3.4431{col 52}0.001{col 60}-.047925{col 73}-.013156
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03049{col 33} .00887{col 43}-3.4380{col 52}0.001{col 60}-.047879{col 73} -.01311
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03049{col 33} .01295{col 43}-2.3547{col 52}0.019{col 60}-.055877{col 73}-.005112
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-70Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-70Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   473355{col 34}   122905{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28556{col 34}    24014{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.274{col 34}    1.274
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.274{col 34}    1.274
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   321154{col 34}    93231
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5437{col 34}     4803

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02544{col 33} .00877{col 43}-2.9004{col 52}0.004{col 60}-.042635{col 73} -.00825
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05812{col 33} .00877{col 43}-6.6261{col 52}0.000{col 60}-.075316{col 73}-.040931
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05812{col 33} .01286{col 43}-4.5181{col 52}0.000{col 60}-.083337{col 73}-.032909
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-60Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-60Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   475449{col 34}   120811{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    29873{col 34}    24921{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.341{col 34}    1.341
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.341{col 34}    1.341
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   322586{col 34}    91799
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5458{col 34}     5084

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00183{col 33}  .0086{col 43}0.2123{col 52}0.832{col 60}-.015038{col 73} .018691
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05692{col 33}  .0086{col 43}-6.6155{col 52}0.000{col 60}-.073788{col 73}-.040059
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05692{col 33} .01269{col 43}-4.4857{col 52}0.000{col 60}-.081795{col 73}-.032052
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-50Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-50Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   477537{col 34}   118723{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    32681{col 34}    26958{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.471{col 34}    1.471
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.471{col 34}    1.471
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   324054{col 34}    90331
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5489{col 34}     5297

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02927{col 33} .00827{col 43}3.5386{col 52}0.000{col 60}  .01306{col 73} .045489
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02712{col 33} .00827{col 43}-3.2777{col 52}0.001{col 60} -.04333{col 73}-.010901
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02712{col 33}  .0121{col 43}-2.2412{col 52}0.025{col 60}-.050829{col 73}-.003403
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-40Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-40Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   479583{col 34}   116677{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36475{col 34}    29757{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.645{col 34}    1.645
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.645{col 34}    1.645
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   325497{col 34}    88888
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5521{col 34}     5451

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .06835{col 33} .00783{col 43}8.7262{col 52}0.000{col 60} .053002{col 73} .083707
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01623{col 33} .00783{col 43}2.0715{col 52}0.038{col 60} .000873{col 73} .031579
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01623{col 33} .01178{col 43}1.3771{col 52}0.168{col 60}-.006869{col 73} .039321
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-30Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-30Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   481621{col 34}   114639{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    40706{col 34}    32626{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.838{col 34}    1.838
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.838{col 34}    1.838
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   326948{col 34}    87437
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5544{col 34}     5512

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0896{col 33} .00743{col 43}12.0563{col 52}0.000{col 60} .075033{col 73} .104165
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05044{col 33} .00743{col 43}6.7870{col 52}0.000{col 60} .035874{col 73} .065005
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05044{col 33}  .0112{col 43}4.5049{col 52}0.000{col 60} .028495{col 73} .072384
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-20Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-20Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   483631{col 34}   112629{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    43549{col 34}    34455{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.973{col 34}    1.973
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.973{col 34}    1.973
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   328447{col 34}    85938
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5548{col 34}     5536

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .10316{col 33} .00714{col 43}14.4463{col 52}0.000{col 60} .089164{col 73} .117157
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08466{col 33} .00714{col 43}11.8553{col 52}0.000{col 60} .070663{col 73} .098655
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08466{col 33} .01078{col 43}7.8570{col 52}0.000{col 60}  .06354{col 73} .105778
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-10Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-10Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    44763{col 34}    36158{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.067{col 34}    2.067
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.067{col 34}    2.067
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5549{col 34}     5549

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .10845{col 33} .00699{col 43}15.5082{col 52}0.000{col 60} .094745{col 73} .122157
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .10413{col 33} .00699{col 43}14.8909{col 52}0.000{col 60} .090428{col 73} .117841
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .10413{col 33} .01062{col 43}9.8062{col 52}0.000{col 60} .083321{col 73} .124948
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake0Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake0Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   486336{col 34}   109924{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    41003{col 34}    34557{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.952{col 34}    1.952
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.952{col 34}    1.952
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   330780{col 34}    83605
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5536{col 34}     5546

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .08277{col 33} .00728{col 43}11.3768{col 52}0.000{col 60} .068508{col 73} .097026
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .06021{col 33} .00728{col 43}8.2760{col 52}0.000{col 60}  .04595{col 73} .074468
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .06021{col 33} .01052{col 43}5.7222{col 52}0.000{col 60} .039586{col 73} .080831
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake10Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake10Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   488275{col 34}   107985{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    38638{col 34}    32957{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.872{col 34}    1.872
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.872{col 34}    1.872
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   332243{col 34}    82142
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5516{col 34}     5541

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .06098{col 33} .00728{col 43}8.3792{col 52}0.000{col 60}  .04672{col 73}  .07525
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0293{col 33} .00728{col 43}4.0258{col 52}0.000{col 60} .015036{col 73} .043565
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0293{col 33} .01034{col 43}2.8346{col 52}0.005{col 60} .009041{col 73}  .04956
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake20Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake20Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   490255{col 34}   106005{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    33535{col 34}    29320{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.666{col 34}    1.666
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.666{col 34}    1.666
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   333651{col 34}    80734
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5456{col 34}     5527

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02206{col 33}  .0075{col 43}2.9398{col 52}0.003{col 60} .007351{col 73}  .03676
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02573{col 33}  .0075{col 43}-3.4297{col 52}0.001{col 60}-.040436{col 73}-.011027
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02573{col 33} .01054{col 43}-2.4409{col 52}0.015{col 60}-.046393{col 73} -.00507
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake30Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake30Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   492206{col 34}   104054{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31724{col 34}    27852{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.599{col 34}    1.599
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.599{col 34}    1.599
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   335040{col 34}    79345
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5387{col 34}     5513

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00333{col 33} .00764{col 43}-0.4361{col 52}0.663{col 60}-.018301{col 73} .011639
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05049{col 33} .00764{col 43}-6.6108{col 52}0.000{col 60}-.065463{col 73}-.035523
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05049{col 33} .01082{col 43}-4.6663{col 52}0.000{col 60}-.071701{col 73}-.029284
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake40Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake40Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   494096{col 34}   102164{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31271{col 34}    27460{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.595{col 34}    1.595
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.595{col 34}    1.595
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   336371{col 34}    78014
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5316{col 34}     5502

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01228{col 33} .00761{col 43}-1.6138{col 52}0.107{col 60}-.027198{col 73} .002634
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0406{col 33} .00761{col 43}-5.3355{col 52}0.000{col 60}-.055521{col 73}-.025689
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0406{col 33} .01087{col 43}-3.7369{col 52}0.000{col 60}-.061901{col 73}-.019308
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake50Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake50Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   495991{col 34}   100269{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30009{col 34}    26385{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.546{col 34}    1.546
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.546{col 34}    1.546
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   337696{col 34}    76689
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5209{col 34}     5486

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02909{col 33} .00765{col 43}-3.8037{col 52}0.000{col 60} -.04408{col 73}  -.0141
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0411{col 33} .00765{col 43}-5.3740{col 52}0.000{col 60} -.05609{col 73} -.02611
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0411{col 33} .01116{col 43}-3.6843{col 52}0.000{col 60}-.062964{col 73}-.019236
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake60Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake60Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   497829{col 34}    98431{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28539{col 34}    25253{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.492{col 34}    1.492
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.492{col 34}    1.492
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   339000{col 34}    75385
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5016{col 34}     5470

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04759{col 33}  .0078{col 43}-6.1018{col 52}0.000{col 60}-.062881{col 73}-.032306
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04779{col 33}  .0078{col 43}-6.1266{col 52}0.000{col 60}-.063075{col 73}  -.0325
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04779{col 33} .01145{col 43}-4.1722{col 52}0.000{col 60}-.070237{col 73}-.025338
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake70Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake70Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   499578{col 34}    96682{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28754{col 34}    25308{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.517{col 34}    1.517
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.517{col 34}    1.517
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   340269{col 34}    74116
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5026{col 34}     5471

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04218{col 33} .00778{col 43}-5.4213{col 52}0.000{col 60}-.057432{col 73}-.026932
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00928{col 33} .00778{col 43}-1.1930{col 52}0.233{col 60}-.024532{col 73} .005968
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00928{col 33} .01147{col 43}-0.8095{col 52}0.418{col 60}-.031757{col 73} .013192
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake80Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake80Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   501425{col 34}    94835{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28689{col 34}    25079{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.530{col 34}    1.530
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.530{col 34}    1.530
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   341545{col 34}    72840
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5156{col 34}     5481

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04891{col 33} .00776{col 43}-6.3039{col 52}0.000{col 60}-.064111{col 73}  -.0337
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00706{col 33} .00776{col 43}-0.9102{col 52}0.363{col 60}-.022267{col 73} .008144
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00706{col 33} .01133{col 43}-0.6232{col 52}0.533{col 60}-.029269{col 73} .015147
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake90Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake90Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   503229{col 34}    93031{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30473{col 34}    26079{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.629{col 34}    1.629
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.629{col 34}    1.629
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   342819{col 34}    71566
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5258{col 34}     5489

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05101{col 33} .00762{col 43}-6.6966{col 52}0.000{col 60}-.065934{col 73}-.036077
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00391{col 33} .00762{col 43}-0.5131{col 52}0.608{col 60}-.018837{col 73}  .01102
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00391{col 33} .01108{col 43}-0.3527{col 52}0.724{col 60}-.025629{col 73} .017812
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake100Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake100Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   505005{col 34}    91255{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28153{col 34}    24396{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.535{col 34}    1.535
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.535{col 34}    1.535
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   344062{col 34}    70323
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5319{col 34}     5468

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05409{col 33} .00785{col 43}-6.8906{col 52}0.000{col 60}-.069479{col 73}-.038707
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00307{col 33} .00785{col 43}0.3916{col 52}0.695{col 60}-.012312{col 73}  .01846
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00307{col 33} .01139{col 43}0.2700{col 52}0.787{col 60} -.01924{col 73} .025389
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake110Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake110Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   506825{col 34}    89435{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31163{col 34}    26114{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.690{col 34}    1.690
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.690{col 34}    1.690
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   345321{col 34}    69064
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5388{col 34}     5490

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04048{col 33} .00748{col 43}-5.4090{col 52}0.000{col 60} -.05515{col 73}-.025813
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03813{col 33} .00748{col 43}5.0951{col 52}0.000{col 60} .023464{col 73} .052801
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03813{col 33} .01101{col 43}3.4622{col 52}0.001{col 60} .016545{col 73} .059719
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake120Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake120Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   508527{col 34}    87733{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    32657{col 34}    26982{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.781{col 34}    1.781
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.781{col 34}    1.781
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   346533{col 34}    67852
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5435{col 34}     5496

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03957{col 33} .00731{col 43}-5.4158{col 52}0.000{col 60}-.053888{col 73}-.025248
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05129{col 33} .00731{col 43}7.0201{col 52}0.000{col 60}  .03697{col 73} .065609
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05129{col 33} .01074{col 43}4.7770{col 52}0.000{col 60} .030246{col 73} .072333
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake130Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake130Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   510275{col 34}    85985{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    33311{col 34}    27024{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.830{col 34}    1.830
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.830{col 34}    1.830
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   347755{col 34}    66630
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5464{col 34}     5495

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03907{col 33} .00728{col 43}-5.3640{col 52}0.000{col 60} -.05334{col 73}-.024791
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04254{col 33} .00728{col 43}5.8411{col 52}0.000{col 60} .028266{col 73} .056815
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04254{col 33} .01067{col 43}3.9868{col 52}0.000{col 60} .021627{col 73} .063454
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake140Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake140Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   511964{col 34}    84296{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    33752{col 34}    27032{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.868{col 34}    1.868
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.868{col 34}    1.868
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   348926{col 34}    65459
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5485{col 34}     5500

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0339{col 33} .00727{col 43}-4.6600{col 52}0.000{col 60}-.048157{col 73}-.019641
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0324{col 33} .00727{col 43}4.4536{col 52}0.000{col 60}  .01814{col 73} .046656
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0324{col 33}  .0106{col 43}3.0573{col 52}0.002{col 60} .011628{col 73} .053167
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake150Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake150Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   513656{col 34}    82604{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    34483{col 34}    27148{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.922{col 34}    1.922
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.922{col 34}    1.922
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   350122{col 34}    64263
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5503{col 34}     5502

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02598{col 33} .00725{col 43}-3.5818{col 52}0.000{col 60}-.040202{col 73}-.011765
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03496{col 33} .00725{col 43}4.8189{col 52}0.000{col 60} .020739{col 73} .049176
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03496{col 33} .01042{col 43}3.3561{col 52}0.001{col 60} .014543{col 73} .055372
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake160Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake160Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   515238{col 34}    81022{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    33939{col 34}    26567{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.917{col 34}    1.917
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.917{col 34}    1.917
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   351247{col 34}    63138
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5521{col 34}     5504

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02454{col 33} .00729{col 43}-3.3678{col 52}0.001{col 60}-.038817{col 73}-.010258
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01356{col 33} .00729{col 43}1.8606{col 52}0.063{col 60}-.000724{col 73} .027836
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01356{col 33} .01053{col 43}1.2876{col 52}0.198{col 60}-.007079{col 73}  .03419
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake170Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake170Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   516852{col 34}    79408{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    37653{col 34}    28313{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.120{col 34}    2.120
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.120{col 34}    2.120
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   352391{col 34}    61994
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5530{col 34}     5521

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03022{col 33} .00701{col 43}-4.3122{col 52}0.000{col 60}-.043958{col 73}-.016485
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02757{col 33} .00701{col 43}3.9335{col 52}0.000{col 60} .013832{col 73} .041304
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02757{col 33} .01007{col 43}2.7383{col 52}0.006{col 60} .007836{col 73}   .0473
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake180Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake180Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   518523{col 34}    77737{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    38970{col 34}    28574{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.202{col 34}    2.202
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.202{col 34}    2.202
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   353556{col 34}    60829
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5537{col 34}     5531

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03337{col 33} .00691{col 43}-4.8274{col 52}0.000{col 60}-.046912{col 73}-.019819
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02083{col 33} .00691{col 43}3.0136{col 52}0.003{col 60} .007283{col 73} .034376
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02083{col 33} .01007{col 43}2.0686{col 52}0.039{col 60} .001094{col 73} .040565
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake190Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake190Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   520067{col 34}    76193{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    44263{col 34}    30916{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.484{col 34}    2.484
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.484{col 34}    2.484
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   354678{col 34}    59707
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5549{col 34}     5547

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04724{col 33} .00663{col 43}-7.1217{col 52}0.000{col 60}-.060244{col 73}-.034241
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0291{col 33} .00663{col 43}4.3861{col 52}0.000{col 60} .016094{col 73} .042097
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0291{col 33}  .0096{col 43}3.0311{col 52}0.002{col 60} .010282{col 73} .047909
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake200Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake200Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   521636{col 34}    74624{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    51588{col 34}    33629{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.856{col 34}    2.856
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.856{col 34}    2.856
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   355822{col 34}    58563
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5550{col 34}     5554

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05677{col 33}  .0063{col 43}-9.0079{col 52}0.000{col 60} -.06912{col 73}-.044417
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02176{col 33}  .0063{col 43}3.4530{col 52}0.001{col 60} .009409{col 73} .034113
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02176{col 33} .00907{col 43}2.4005{col 52}0.016{col 60} .003994{col 73} .039529
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake210Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake210Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   523189{col 34}    73071{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    61911{col 34}    36993{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.363{col 34}    3.363
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.363{col 34}    3.363
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   356908{col 34}    57477
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5554{col 34}     5558

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06997{col 33} .00595{col 43}-11.7673{col 52}0.000{col 60}-.081629{col 73}-.058319
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00887{col 33} .00595{col 43}1.4924{col 52}0.136{col 60} -.00278{col 73} .020529
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00887{col 33} .00861{col 43}1.0304{col 52}0.303{col 60}-.008006{col 73} .025755
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake220Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake220Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   524629{col 34}    71631{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    66988{col 34}    38247{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.628{col 34}    3.628
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.628{col 34}    3.628
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   357947{col 34}    56438
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5556{col 34}     5561

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07113{col 33} .00577{col 43}-12.3278{col 52}0.000{col 60}-.082439{col 73}-.059822
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01183{col 33} .00577{col 43}2.0508{col 52}0.040{col 60} .000524{col 73} .023142
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01183{col 33} .00836{col 43}1.4157{col 52}0.157{col 60}-.004549{col 73} .028215
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake230Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake230Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   526075{col 34}    70185{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    73363{col 34}    39647{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.939{col 34}    3.939
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.939{col 34}    3.939
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   358976{col 34}    55409
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5561

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07217{col 33} .00564{col 43}-12.7860{col 52}0.000{col 60}-.083235{col 73}-.061109
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00749{col 33} .00564{col 43}1.3265{col 52}0.185{col 60}-.003576{col 73} .018551
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00749{col 33}  .0081{col 43}0.9238{col 52}0.356{col 60}-.008398{col 73} .023373
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake240Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake240Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   527475{col 34}    68785{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    74208{col 34}    39368{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.015{col 34}    4.015
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.015{col 34}    4.015
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   359987{col 34}    54398
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5561

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07416{col 33} .00561{col 43}-13.2155{col 52}0.000{col 60} -.08516{col 73}-.063163
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01085{col 33} .00561{col 43}1.9333{col 52}0.053{col 60} -.00015{col 73} .021848
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01085{col 33} .00808{col 43}1.3432{col 52}0.179{col 60}-.004982{col 73} .026679
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake250Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake250Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   528901{col 34}    67359{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    72770{col 34}    38439{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.993{col 34}    3.993
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.993{col 34}    3.993
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   360999{col 34}    53386
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5561

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07261{col 33} .00567{col 43}-12.8037{col 52}0.000{col 60} -.08373{col 73}-.061499
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01651{col 33} .00567{col 43}2.9104{col 52}0.004{col 60}  .00539{col 73} .027621
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01651{col 33} .00816{col 43}2.0236{col 52}0.043{col 60} .000519{col 73} .032493
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake260Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake260Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   530293{col 34}    65967{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    76089{col 34}    38751{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.177{col 34}    4.177
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.177{col 34}    4.177
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   361974{col 34}    52411
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5559

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0771{col 33} .00565{col 43}-13.6380{col 52}0.000{col 60}-.088176{col 73}-.066016
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01688{col 33} .00565{col 43}2.9861{col 52}0.003{col 60} .005801{col 73}  .02796
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01688{col 33} .00813{col 43}2.0759{col 52}0.038{col 60} .000943{col 73} .032818
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake270Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake270Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   531718{col 34}    64542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    78853{col 34}    38769{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.333{col 34}    4.333
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.333{col 34}    4.333
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   362987{col 34}    51398
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5559

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0776{col 33} .00564{col 43}-13.7541{col 52}0.000{col 60}-.088656{col 73}-.066541
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01841{col 33} .00564{col 43}3.2625{col 52}0.001{col 60} .007349{col 73} .029465
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01841{col 33}  .0081{col 43}2.2726{col 52}0.023{col 60} .002532{col 73} .034282
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake280Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake280Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   533073{col 34}    63187{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    82254{col 34}    38887{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.521{col 34}    4.521
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.521{col 34}    4.521
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   363951{col 34}    50434
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5558

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07863{col 33} .00558{col 43}-14.0938{col 52}0.000{col 60}-.089567{col 73}-.067697
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01798{col 33} .00558{col 43}3.2232{col 52}0.001{col 60} .007048{col 73} .028918
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01798{col 33} .00795{col 43}2.2607{col 52}0.024{col 60} .002392{col 73} .033574
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake290Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake290Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   534417{col 34}    61843{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    72968{col 34}    36200{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.156{col 34}    4.156
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.156{col 34}    4.156
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   364917{col 34}    49468
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5555

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06841{col 33} .00579{col 43}-11.8205{col 52}0.000{col 60}-.079751{col 73}-.057065
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0298{col 33} .00579{col 43}5.1501{col 52}0.000{col 60} .018462{col 73} .041147
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0298{col 33} .00837{col 43}3.5617{col 52}0.000{col 60} .013403{col 73} .046206
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake300Brazil.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake300Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    95473{col 34}    52098{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21218{col 34}    18946{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.171{col 34}    3.171
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.171{col 34}    3.171
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    69612{col 34}    42042
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1097

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01808{col 33} .01096{col 43}-1.6487{col 52}0.099{col 60}-.039563{col 73} .003412
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02511{col 33} .01096{col 43}2.2901{col 52}0.022{col 60} .003619{col 73} .046594
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02511{col 33} .01497{col 43}1.6771{col 52}0.094{col 60}-.004235{col 73} .054448
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-300Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-300Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    96131{col 34}    51440{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18836{col 34}    17399{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.813{col 34}    2.813
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.813{col 34}    2.813
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70108{col 34}    41546
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1098{col 34}     1097

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}   .002{col 33} .01131{col 43}0.1772{col 52}0.859{col 60}-.020158{col 73} .024166
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00216{col 33} .01131{col 43}-0.1907{col 52}0.849{col 60}-.024318{col 73} .020006
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00216{col 33} .01598{col 43}-0.1349{col 52}0.893{col 60}-.033478{col 73} .029165
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-290Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-290Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    96776{col 34}    50795{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15649{col 34}    14624{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.339{col 34}    2.339
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.339{col 34}    2.339
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70588{col 34}    41066
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1095

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00047{col 33} .01216{col 43}-0.0388{col 52}0.969{col 60}-.024295{col 73} .023352
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01661{col 33} .01216{col 43}-1.3662{col 52}0.172{col 60} -.04043{col 73} .007217
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01661{col 33} .01717{col 43}-0.9671{col 52}0.334{col 60}-.050263{col 73}  .01705
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-280Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-280Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    97440{col 34}    50131{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14086{col 34}    13177{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.104{col 34}    2.104
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.104{col 34}    2.104
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71061{col 34}    40593
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1095{col 34}     1094

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}   -.01{col 33} .01265{col 43}-0.7908{col 52}0.429{col 60}-.034798{col 73} .014791
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03823{col 33} .01265{col 43}-3.0223{col 52}0.003{col 60}-.063027{col 73}-.013439
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03823{col 33} .01777{col 43}-2.1518{col 52}0.031{col 60}-.073056{col 73}-.003409
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-270Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-270Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    98102{col 34}    49469{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13096{col 34}    12212{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.954{col 34}    1.954
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.954{col 34}    1.954
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71543{col 34}    40111
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1092{col 34}     1093

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01185{col 33} .01314{col 43}-0.9024{col 52}0.367{col 60}-.037598{col 73} .013892
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03453{col 33} .01314{col 43}-2.6290{col 52}0.009{col 60}-.060278{col 73}-.008788
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03453{col 33} .01828{col 43}-1.8891{col 52}0.059{col 60}-.070362{col 73} .001296
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-260Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-260Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    98772{col 34}    48799{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11752{col 34}    10932{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.749{col 34}    1.749
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.749{col 34}    1.749
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72057{col 34}    39597
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1090{col 34}     1091

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02101{col 33} .01351{col 43}-1.5548{col 52}0.120{col 60}-.047489{col 73} .005474
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0498{col 33} .01351{col 43}-3.6855{col 52}0.000{col 60}-.076277{col 73}-.023314
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0498{col 33} .01892{col 43}-2.6320{col 52}0.008{col 60}-.086877{col 73}-.012714
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-250Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-250Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    99427{col 34}    48144{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11379{col 34}    10598{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.703{col 34}    1.703
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.703{col 34}    1.703
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72545{col 34}    39109
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1092{col 34}     1089

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00896{col 33} .01389{col 43}-0.6450{col 52}0.519{col 60}-.036173{col 73}  .01826
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02546{col 33} .01389{col 43}-1.8331{col 52}0.067{col 60}-.052672{col 73} .001762
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02546{col 33} .01972{col 43}-1.2908{col 52}0.197{col 60}-.064108{col 73} .013197
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-240Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-240Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   100081{col 34}    47490{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10895{col 34}    10094{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.628{col 34}    1.628
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.628{col 34}    1.628
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73046{col 34}    38608
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1088{col 34}     1086

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00182{col 33} .01414{col 43}-0.1286{col 52}0.898{col 60}-.029532{col 73} .025895
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01792{col 33} .01414{col 43}-1.2672{col 52}0.205{col 60}-.045631{col 73} .009795
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01792{col 33} .02068{col 43}-0.8666{col 52}0.386{col 60}-.058444{col 73} .022608
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-230Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-230Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   100716{col 34}    46855{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10835{col 34}    10012{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.623{col 34}    1.623
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.623{col 34}    1.623
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73522{col 34}    38132
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1089{col 34}     1086

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00424{col 33} .01429{col 43}0.2965{col 52}0.767{col 60}-.023777{col 73} .032254
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00451{col 33} .01429{col 43}0.3157{col 52}0.752{col 60}-.023503{col 73} .032527
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00451{col 33} .02051{col 43}0.2200{col 52}0.826{col 60}-.035679{col 73} .044704
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-220Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-220Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   101388{col 34}    46183{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10637{col 34}     9735{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.596{col 34}    1.596
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.596{col 34}    1.596
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    74028{col 34}    37626
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1088{col 34}     1084

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00979{col 33} .01434{col 43}0.6830{col 52}0.495{col 60}-.018311{col 73}   .0379
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02933{col 33} .01434{col 43}2.0454{col 52}0.041{col 60} .001224{col 73} .057436
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02933{col 33} .02139{col 43}1.3711{col 52}0.170{col 60}-.012598{col 73} .071258
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-210Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-210Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   102052{col 34}    45519{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10396{col 34}     9490{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.559{col 34}    1.559
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.559{col 34}    1.559
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    74519{col 34}    37135
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1089{col 34}     1083

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01183{col 33} .01463{col 43}0.8082{col 52}0.419{col 60}-.016854{col 73}  .04051
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0267{col 33} .01463{col 43}1.8245{col 52}0.068{col 60}-.001982{col 73} .055382
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0267{col 33} .02116{col 43}1.2620{col 52}0.207{col 60}-.014767{col 73} .068166
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-200Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-200Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   102726{col 34}    44845{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10064{col 34}     9115{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.514{col 34}    1.514
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.514{col 34}    1.514
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    75032{col 34}    36622
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1090{col 34}     1079

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01454{col 33} .01517{col 43}0.9587{col 52}0.338{col 60}-.015188{col 73} .044273
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01506{col 33} .01517{col 43}0.9925{col 52}0.321{col 60}-.014675{col 73} .044786
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01506{col 33} .02287{col 43}0.6583{col 52}0.510{col 60}-.029765{col 73} .059876
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-190Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-190Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   103360{col 34}    44211{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9712{col 34}     8778{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.467{col 34}    1.467
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.467{col 34}    1.467
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    75510{col 34}    36144
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1086{col 34}     1076

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02221{col 33} .01556{col 43}1.4276{col 52}0.153{col 60}-.008283{col 73} .052703
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01513{col 33} .01556{col 43}0.9728{col 52}0.331{col 60}-.015358{col 73} .045627
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01513{col 33} .02273{col 43}0.6657{col 52}0.506{col 60}-.029423{col 73} .059692
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-180Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-180Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   103990{col 34}    43581{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9758{col 34}     8799{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.481{col 34}    1.481
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.481{col 34}    1.481
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    75995{col 34}    35659
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1084{col 34}     1079

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01967{col 33} .01563{col 43}1.2581{col 52}0.208{col 60}-.010974{col 73} .050314
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0053{col 33} .01563{col 43}0.3388{col 52}0.735{col 60}-.025347{col 73}  .03594
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0053{col 33}  .0229{col 43}0.2313{col 52}0.817{col 60}-.039584{col 73} .050177
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-170Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-170Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   104589{col 34}    42982{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9961{col 34}     9005{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.527{col 34}    1.527
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.527{col 34}    1.527
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    76452{col 34}    35202
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1088{col 34}     1081

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0061{col 33}  .0155{col 43}0.3936{col 52}0.694{col 60} -.02428{col 73} .036482
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01062{col 33}  .0155{col 43}-0.6850{col 52}0.493{col 60}   -.041{col 73} .019762
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01062{col 33} .02226{col 43}-0.4770{col 52}0.633{col 60}-.054249{col 73} .033011
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-160Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-160Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   105236{col 34}    42335{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9519{col 34}     8482{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.463{col 34}    1.463
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.463{col 34}    1.463
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    76945{col 34}    34709
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1086{col 34}     1075

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00152{col 33} .01578{col 43}0.0966{col 52}0.923{col 60}-.029398{col 73} .032446
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00152{col 33} .01578{col 43}-0.0964{col 52}0.923{col 60}-.032443{col 73} .029401
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00152{col 33} .02307{col 43}-0.0659{col 52}0.947{col 60}-.046732{col 73}  .04369
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-150Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-150Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   105825{col 34}    41746{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9547{col 34}     8099{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.479{col 34}    1.479
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.479{col 34}    1.479
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    77383{col 34}    34271
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1085{col 34}     1072

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00264{col 33} .01597{col 43}0.1653{col 52}0.869{col 60}-.028655{col 73} .033934
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03313{col 33} .01597{col 43}2.0748{col 52}0.038{col 60} .001834{col 73} .064423
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03313{col 33} .02281{col 43}1.4523{col 52}0.146{col 60}-.011581{col 73} .077839
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-140Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-140Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   106461{col 34}    41110{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9488{col 34}     7949{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.469{col 34}    1.469
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.469{col 34}    1.469
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    77862{col 34}    33792
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1085{col 34}     1069

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02932{col 33} .01594{col 43}-1.8396{col 52}0.066{col 60}-.060557{col 73} .001918
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05358{col 33} .01594{col 43}3.3619{col 52}0.001{col 60} .022344{col 73} .084819
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05358{col 33} .02253{col 43}2.3778{col 52}0.017{col 60} .009416{col 73} .097747
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-130Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-130Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   107035{col 34}    40536{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9448{col 34}     7959{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.477{col 34}    1.477
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.477{col 34}    1.477
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    78303{col 34}    33351
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1086{col 34}     1063

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06642{col 33} .01621{col 43}-4.0978{col 52}0.000{col 60}-.098192{col 73}-.034653
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01754{col 33} .01621{col 43}1.0820{col 52}0.279{col 60}-.014232{col 73} .049307
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01754{col 33} .02282{col 43}0.7683{col 52}0.442{col 60}-.027199{col 73} .062274
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-120Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-120Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   107622{col 34}    39949{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9409{col 34}     7946{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.483{col 34}    1.483
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.483{col 34}    1.483
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    78742{col 34}    32912
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1087{col 34}     1055

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09125{col 33} .01605{col 43}-5.6838{col 52}0.000{col 60}-.122711{col 73}-.059782
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03203{col 33} .01605{col 43}-1.9952{col 52}0.046{col 60}-.063495{col 73}-.000566
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03203{col 33} .02289{col 43}-1.3996{col 52}0.162{col 60}-.076885{col 73} .012824
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-110Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-110Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108210{col 34}    39361{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9547{col 34}     8069{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.519{col 34}    1.519
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.519{col 34}    1.519
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    79192{col 34}    32462
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1088{col 34}     1044

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09891{col 33} .01551{col 43}-6.3786{col 52}0.000{col 60}-.129303{col 73}-.068518
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05392{col 33} .01551{col 43}-3.4774{col 52}0.001{col 60}-.084316{col 73}-.023531
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05392{col 33} .02232{col 43}-2.4156{col 52}0.016{col 60}-.097676{col 73}-.010171
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-100Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-100Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108812{col 34}    38759{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10258{col 34}     8557{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.636{col 34}    1.636
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.636{col 34}    1.636
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    79640{col 34}    32014
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1091{col 34}     1025

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05585{col 33} .01483{col 43}-3.7672{col 52}0.000{col 60}-.084912{col 73}-.026794
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04234{col 33} .01483{col 43}-2.8557{col 52}0.004{col 60}-.071398{col 73}-.013281
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04234{col 33} .02166{col 43}-1.9548{col 52}0.051{col 60} -.08479{col 73} .000111
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-90Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-90Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   109420{col 34}    38151{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11194{col 34}     9197{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.781{col 34}    1.781
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.781{col 34}    1.781
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    80118{col 34}    31536
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1092{col 34}     1038

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02486{col 33} .01424{col 43}-1.7458{col 52}0.081{col 60}-.052769{col 73} .003049
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05075{col 33} .01424{col 43}-3.5642{col 52}0.000{col 60}-.078663{col 73}-.022844
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05075{col 33}   .021{col 43}-2.4169{col 52}0.016{col 60}-.091911{col 73}-.009596
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-80Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-80Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   110015{col 34}    37556{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12586{col 34}    10155{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.003{col 34}    2.003
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.003{col 34}    2.003
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    80580{col 34}    31074
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1093{col 34}     1071

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00851{col 33} .01379{col 43}0.6172{col 52}0.537{col 60}-.018513{col 73} .035533
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05489{col 33} .01379{col 43}-3.9809{col 52}0.000{col 60}-.081909{col 73}-.027863
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05489{col 33} .01968{col 43}-2.7886{col 52}0.005{col 60}-.093463{col 73}-.016309
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-70Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-70Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   110590{col 34}    36981{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14835{col 34}    11696{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.356{col 34}    2.356
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.356{col 34}    2.356
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    81033{col 34}    30621
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1083

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05527{col 33} .01274{col 43}4.3398{col 52}0.000{col 60} .030311{col 73} .080237
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03726{col 33} .01274{col 43}-2.9258{col 52}0.003{col 60}-.062227{col 73}-.012301
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03726{col 33} .01826{col 43}-2.0411{col 52}0.041{col 60}-.073046{col 73}-.001481
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-60Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-60Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   111144{col 34}    36427{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16291{col 34}    12632{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.593{col 34}    2.593
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.593{col 34}    2.593
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    81455{col 34}    30199
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1089

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .07941{col 33} .01248{col 43}6.3620{col 52}0.000{col 60} .054943{col 73} .103869
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0325{col 33} .01248{col 43}-2.6037{col 52}0.009{col 60}-.056961{col 73}-.008035
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0325{col 33} .01748{col 43}-1.8592{col 52}0.063{col 60}-.066757{col 73} .001762
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-50Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-50Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   111767{col 34}    35804{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19607{col 34}    14459{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.085{col 34}    3.085
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.085{col 34}    3.085
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    81931{col 34}    29723
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1096

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .12057{col 33}  .0118{col 43}10.2171{col 52}0.000{col 60}  .09744{col 73} .143698
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03167{col 33}  .0118{col 43}2.6841{col 52}0.007{col 60} .008546{col 73} .054804
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03167{col 33} .01638{col 43}1.9340{col 52}0.053{col 60}-.000425{col 73} .063774
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-40Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-40Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   112330{col 34}    35241{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20926{col 34}    15077{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.301{col 34}    3.301
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.301{col 34}    3.301
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    82378{col 34}    29276
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1097

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .15009{col 33} .01164{col 43}12.8996{col 52}0.000{col 60} .127283{col 73} .172891
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08785{col 33} .01164{col 43}7.5502{col 52}0.000{col 60} .065042{col 73} .110651
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08785{col 33} .01647{col 43}5.3344{col 52}0.000{col 60}  .05557{col 73} .120123
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-30Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-30Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   112903{col 34}    34668{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    23459{col 34}    16259{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.689{col 34}    3.689
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.689{col 34}    3.689
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    82840{col 34}    28814
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .17783{col 33} .01121{col 43}15.8625{col 52}0.000{col 60} .155859{col 73} .199805
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .13792{col 33} .01121{col 43}12.3028{col 52}0.000{col 60} .115952{col 73} .159898
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .13792{col 33} .01593{col 43}8.6594{col 52}0.000{col 60} .106707{col 73} .169143
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-20Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-20Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113472{col 34}    34099{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26815{col 34}    17686{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.209{col 34}    4.209
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.209{col 34}    4.209
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83315{col 34}    28339
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19578{col 33} .01093{col 43}17.9104{col 52}0.000{col 60} .174357{col 73} .217207
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .18044{col 33} .01093{col 43}16.5068{col 52}0.000{col 60} .159014{col 73} .201864
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .18044{col 33} .01524{col 43}11.8396{col 52}0.000{col 60} .150569{col 73}  .21031
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-10Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-10Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27585{col 34}    18227{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.379{col 34}    4.379
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.379{col 34}    4.379
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19899{col 33} .01078{col 43}18.4573{col 52}0.000{col 60} .177861{col 73} .220123
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .1892{col 33} .01078{col 43}17.5490{col 52}0.000{col 60} .168068{col 73}  .21033
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .1892{col 33} .01502{col 43}12.5984{col 52}0.000{col 60} .159765{col 73} .218633
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake0Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake0Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114029{col 34}    33542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24798{col 34}    17160{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.021{col 34}    4.021
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.021{col 34}    4.021
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83842{col 34}    27812
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .18794{col 33} .01101{col 43}17.0700{col 52}0.000{col 60} .166361{col 73}  .20952
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .17045{col 33} .01101{col 43}15.4812{col 52}0.000{col 60} .148869{col 73} .192027
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .17045{col 33} .01565{col 43}10.8915{col 52}0.000{col 60} .139775{col 73} .201121
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake10Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake10Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114566{col 34}    33005{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20817{col 34}    15150{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.453{col 34}    3.453
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.453{col 34}    3.453
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    84292{col 34}    27362
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1098{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .14737{col 33} .01168{col 43}12.6225{col 52}0.000{col 60}  .12449{col 73} .170257
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08773{col 33} .01168{col 43}7.5144{col 52}0.000{col 60} .064851{col 73} .110618
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08773{col 33} .01687{col 43}5.2013{col 52}0.000{col 60} .054674{col 73} .120795
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake20Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake20Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   115121{col 34}    32450{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19466{col 34}    14311{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.271{col 34}    3.271
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.271{col 34}    3.271
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    84749{col 34}    26905
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11696{col 33} .01195{col 43}9.7843{col 52}0.000{col 60} .093535{col 73} .140395
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04242{col 33} .01195{col 43}3.5488{col 52}0.000{col 60} .018993{col 73} .065853
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04242{col 33} .01716{col 43}2.4723{col 52}0.013{col 60} .008792{col 73} .076054
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake30Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake30Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   115649{col 34}    31922{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17353{col 34}    13105{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.970{col 34}    2.970
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.970{col 34}    2.970
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    85182{col 34}    26472
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1098

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .07963{col 33} .01239{col 43}6.4282{col 52}0.000{col 60} .055348{col 73} .103903
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00173{col 33} .01239{col 43}0.1395{col 52}0.889{col 60} -.02255{col 73} .026006
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00173{col 33} .01791{col 43}0.0965{col 52}0.923{col 60}-.033377{col 73} .036833
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake40Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake40Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   116196{col 34}    31375{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15126{col 34}    11768{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.645{col 34}    2.645
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.645{col 34}    2.645
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    85608{col 34}    26046
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1093{col 34}     1096

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04162{col 33} .01312{col 43}3.1719{col 52}0.002{col 60} .015901{col 73}  .06733
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05507{col 33} .01312{col 43}-4.1972{col 52}0.000{col 60}-.080782{col 73}-.029353
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05507{col 33} .01867{col 43}-2.9493{col 52}0.003{col 60}-.091662{col 73}-.018472
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake50Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake50Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   116684{col 34}    30887{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14251{col 34}    11271{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.543{col 34}    2.543
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.543{col 34}    2.543
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    85998{col 34}    25656
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1088{col 34}     1096

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0189{col 33} .01344{col 43}1.4064{col 52}0.160{col 60}-.007438{col 73} .045231
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.07249{col 33} .01344{col 43}-5.3955{col 52}0.000{col 60}-.098828{col 73} -.04616
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.07249{col 33}   .019{col 43}-3.8159{col 52}0.000{col 60}-.109729{col 73}-.035259
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake60Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake60Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   117194{col 34}    30377{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14271{col 34}    11219{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.570{col 34}    2.570
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.570{col 34}    2.570
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    86403{col 34}    25251
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1085{col 34}     1097

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01425{col 33}  .0136{col 43}1.0472{col 52}0.295{col 60}-.012417{col 73} .040908
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05317{col 33}  .0136{col 43}-3.9084{col 52}0.000{col 60}-.079831{col 73}-.026506
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05317{col 33} .01918{col 43}-2.7724{col 52}0.006{col 60}-.090757{col 73} -.01558
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake70Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake70Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   117688{col 34}    29883{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13532{col 34}    10739{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.473{col 34}    2.473
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.473{col 34}    2.473
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    86808{col 34}    24846
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1082{col 34}     1096

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00639{col 33} .01385{col 43}-0.4614{col 52}0.645{col 60}-.033537{col 73} .020756
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05845{col 33} .01385{col 43}-4.2198{col 52}0.000{col 60}-.085592{col 73}  -.0313
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05845{col 33} .01954{col 43}-2.9910{col 52}0.003{col 60}-.096745{col 73}-.020146
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake80Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake80Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   118235{col 34}    29336{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12781{col 34}    10147{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.361{col 34}    2.361
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.361{col 34}    2.361
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    87247{col 34}    24407
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1076{col 34}     1095

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03899{col 33} .01429{col 43}-2.7286{col 52}0.006{col 60}-.067002{col 73}-.010984
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.08268{col 33} .01429{col 43}-5.7857{col 52}0.000{col 60}-.110689{col 73}-.054672
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.08268{col 33} .01995{col 43}-4.1445{col 52}0.000{col 60} -.12178{col 73}-.043581
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake90Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake90Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   118721{col 34}    28850{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12160{col 34}     9733{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.284{col 34}    2.284
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.284{col 34}    2.284
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    87620{col 34}    24034
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1071{col 34}     1095

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0546{col 33} .01451{col 43}-3.7637{col 52}0.000{col 60}-.083026{col 73}-.026165
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.07647{col 33} .01451{col 43}-5.2715{col 52}0.000{col 60}-.104897{col 73}-.048036
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.07647{col 33} .02016{col 43}-3.7921{col 52}0.000{col 60}-.115989{col 73}-.036944
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake100Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake100Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   119214{col 34}    28357{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11956{col 34}     9510{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.261{col 34}    2.261
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.261{col 34}    2.261
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    88013{col 34}    23641
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1062{col 34}     1097

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05846{col 33} .01453{col 43}-4.0226{col 52}0.000{col 60}-.086943{col 73}-.029976
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02829{col 33} .01453{col 43}-1.9469{col 52}0.052{col 60}-.056777{col 73}  .00019
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02829{col 33} .02053{col 43}-1.3785{col 52}0.168{col 60}-.068522{col 73} .011935
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake110Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake110Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   119700{col 34}    27871{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11585{col 34}     9217{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.217{col 34}    2.217
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.217{col 34}    2.217
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    88400{col 34}    23254
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1065{col 34}     1097

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07599{col 33} .01474{col 43}-5.1545{col 52}0.000{col 60}-.104885{col 73}-.047096
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01289{col 33} .01474{col 43}-0.8741{col 52}0.382{col 60}-.041781{col 73} .016008
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01289{col 33} .02098{col 43}-0.6142{col 52}0.539{col 60}-.054011{col 73} .028238
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake120Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake120Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   120154{col 34}    27417{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11218{col 34}     8985{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.181{col 34}    2.181
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.181{col 34}    2.181
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    88764{col 34}    22890
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1071{col 34}     1097

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.08645{col 33} .01495{col 43}-5.7818{col 52}0.000{col 60}-.115754{col 73}-.057143
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01729{col 33} .01495{col 43}-1.1565{col 52}0.247{col 60}-.046597{col 73} .012013
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01729{col 33} .02111{col 43}-0.8190{col 52}0.413{col 60}-.058674{col 73}  .02409
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake130Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake130Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   120625{col 34}    26946{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10736{col 34}     8649{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.120{col 34}    2.120
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.120{col 34}    2.120
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    89153{col 34}    22501
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1073{col 34}     1097

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09178{col 33} .01491{col 43}-6.1546{col 52}0.000{col 60}-.121008{col 73}-.062552
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0129{col 33} .01491{col 43}-0.8650{col 52}0.387{col 60}-.042127{col 73} .016328
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0129{col 33} .02156{col 43}-0.5983{col 52}0.550{col 60}-.055158{col 73} .029359
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake140Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake140Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   121053{col 34}    26518{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10893{col 34}     8735{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.174{col 34}    2.174
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.174{col 34}    2.174
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    89507{col 34}    22147
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1076{col 34}     1098

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07826{col 33} .01496{col 43}-5.2299{col 52}0.000{col 60}-.107585{col 73} -.04893
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02253{col 33} .01496{col 43}1.5059{col 52}0.132{col 60}-.006794{col 73} .051861
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02253{col 33} .02125{col 43}1.0603{col 52}0.289{col 60}-.019119{col 73} .064186
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake150Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake150Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   121543{col 34}    26028{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11801{col 34}     9134{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.346{col 34}    2.346
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.346{col 34}    2.346
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    89896{col 34}    21758
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1082{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0806{col 33} .01459{col 43}-5.5230{col 52}0.000{col 60}-.109204{col 73}-.051998
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01067{col 33} .01459{col 43}0.7309{col 52}0.465{col 60}-.017937{col 73} .039269
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01067{col 33} .02042{col 43}0.5224{col 52}0.601{col 60}-.029349{col 73} .050681
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake160Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake160Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122029{col 34}    25542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11832{col 34}     9012{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.368{col 34}    2.368
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.368{col 34}    2.368
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    90286{col 34}    21368
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1082{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06949{col 33} .01473{col 43}-4.7186{col 52}0.000{col 60}-.098359{col 73}-.040628
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03701{col 33} .01473{col 43}2.5130{col 52}0.012{col 60} .008145{col 73} .065876
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03701{col 33} .02054{col 43}1.8015{col 52}0.072{col 60}-.003256{col 73} .077277
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake170Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake170Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122463{col 34}    25108{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10658{col 34}     8362{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.194{col 34}    2.194
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.194{col 34}    2.194
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    90634{col 34}    21020
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1083{col 34}     1098

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06607{col 33} .01531{col 43}-4.3145{col 52}0.000{col 60} -.09609{col 73}-.036059
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02791{col 33} .01531{col 43}1.8226{col 52}0.068{col 60}-.002103{col 73} .057928
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02791{col 33}  .0209{col 43}1.3352{col 52}0.182{col 60} -.01306{col 73} .068885
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake180Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake180Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122907{col 34}    24664{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10820{col 34}     8351{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.242{col 34}    2.242
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.242{col 34}    2.242
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    90994{col 34}    20660
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1086{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05614{col 33} .01525{col 43}-3.6814{col 52}0.000{col 60}-.086023{col 73}-.026249
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02391{col 33} .01525{col 43}1.5682{col 52}0.117{col 60}-.005974{col 73} .053799
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02391{col 33} .02097{col 43}1.1405{col 52}0.254{col 60}-.017183{col 73} .065008
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake190Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake190Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   123367{col 34}    24204{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11055{col 34}     8378{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.302{col 34}    2.302
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.302{col 34}    2.302
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    91367{col 34}    20287
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1088{col 34}     1097

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04687{col 33} .01532{col 43}-3.0594{col 52}0.002{col 60}-.076904{col 73}-.016846
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02974{col 33} .01532{col 43}1.9413{col 52}0.052{col 60}-.000286{col 73} .059773
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02974{col 33} .02119{col 43}1.4034{col 52}0.161{col 60}-.011797{col 73} .071283
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake200Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake200Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   123805{col 34}    23766{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10985{col 34}     8265{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.316{col 34}    2.316
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.316{col 34}    2.316
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    91716{col 34}    19938
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1089{col 34}     1094

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02889{col 33} .01523{col 43}-1.8967{col 52}0.058{col 60}-.058744{col 73} .000963
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02352{col 33} .01523{col 43}1.5445{col 52}0.122{col 60}-.006329{col 73} .053378
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02352{col 33} .02095{col 43}1.1226{col 52}0.262{col 60}-.017546{col 73} .064595
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake210Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake210Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   124258{col 34}    23313{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11789{col 34}     8556{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.476{col 34}    2.476
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.476{col 34}    2.476
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    92074{col 34}    19580
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1093{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02817{col 33} .01474{col 43}-1.9105{col 52}0.056{col 60}-.057068{col 73} .000729
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04783{col 33} .01474{col 43}3.2438{col 52}0.001{col 60} .018929{col 73} .076727
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04783{col 33} .02047{col 43}2.3368{col 52}0.019{col 60} .007713{col 73} .087943
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake220Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake220Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   124667{col 34}    22904{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11565{col 34}     8378{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.463{col 34}    2.463
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.463{col 34}    2.463
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    92395{col 34}    19259
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1095{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01091{col 33} .01481{col 43}-0.7366{col 52}0.461{col 60} -.03994{col 73}  .01812
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03779{col 33} .01481{col 43}2.5513{col 52}0.011{col 60} .008759{col 73}  .06682
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03779{col 33} .02107{col 43}1.7934{col 52}0.073{col 60}-.003509{col 73} .079088
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake230Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake230Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125083{col 34}    22488{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12024{col 34}     8492{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.570{col 34}    2.570
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.570{col 34}    2.570
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    92722{col 34}    18932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1095{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00803{col 33} .01458{col 43}-0.5508{col 52}0.582{col 60}-.036609{col 73} .020546
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}   .049{col 33} .01458{col 43}3.3604{col 52}0.001{col 60}  .02042{col 73} .077576
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}   .049{col 33} .02123{col 43}2.3081{col 52}0.021{col 60} .007391{col 73} .090605
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake240Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake240Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125474{col 34}    22097{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12419{col 34}     8622{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.671{col 34}    2.671
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.671{col 34}    2.671
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93032{col 34}    18622
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00807{col 33}  .0144{col 43}-0.5607{col 52}0.575{col 60}-.036299{col 73} .020151
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04512{col 33}  .0144{col 43}3.1331{col 52}0.002{col 60} .016893{col 73} .073344
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04512{col 33} .02054{col 43}2.1971{col 52}0.028{col 60}  .00487{col 73} .085367
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake250Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake250Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125890{col 34}    21681{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12936{col 34}     8713{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.791{col 34}    2.791
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.791{col 34}    2.791
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93347{col 34}    18307
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1098

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00756{col 33} .01423{col 43}-0.5310{col 52}0.595{col 60}-.035446{col 73} .020334
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05708{col 33} .01423{col 43}4.0114{col 52}0.000{col 60} .029192{col 73} .084971
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05708{col 33} .02035{col 43}2.8046{col 52}0.005{col 60} .017191{col 73} .096971
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake260Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake260Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   126285{col 34}    21286{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12783{col 34}     8570{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.793{col 34}    2.793
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.793{col 34}    2.793
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93658{col 34}    17996
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00443{col 33} .01422{col 43}-0.3117{col 52}0.755{col 60}-.032291{col 73} .023431
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01072{col 33} .01422{col 43}0.7540{col 52}0.451{col 60}-.017143{col 73} .038579
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01072{col 33} .02055{col 43}0.5216{col 52}0.602{col 60}-.029556{col 73} .050991
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake270Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake270Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   126643{col 34}    20928{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12911{col 34}     8514{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.828{col 34}    2.828
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.828{col 34}    2.828
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93937{col 34}    17717
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00297{col 33} .01424{col 43}-0.2085{col 52}0.835{col 60}-.030876{col 73} .024939
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01305{col 33} .01424{col 43}-0.9167{col 52}0.359{col 60}-.040961{col 73} .014855
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01305{col 33}  .0206{col 43}-0.6338{col 52}0.526{col 60} -.05342{col 73} .027314
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake280Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake280Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   127014{col 34}    20557{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13274{col 34}     8590{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.923{col 34}    2.923
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.923{col 34}    2.923
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    94240{col 34}    17414
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00531{col 33} .01399{col 43}0.3793{col 52}0.704{col 60}-.022108{col 73} .032719
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01386{col 33} .01399{col 43}-0.9913{col 52}0.322{col 60}-.041278{col 73} .013549
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01386{col 33}  .0202{col 43}-0.6863{col 52}0.493{col 60}-.053459{col 73} .025729
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake290Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake290Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   127399{col 34}    20172{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13643{col 34}     8568{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.986{col 34}    2.986
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.986{col 34}    2.986
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    94552{col 34}    17102
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1098

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00174{col 33} .01413{col 43}0.1233{col 52}0.902{col 60} -.02595{col 73} .029434
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0169{col 33} .01413{col 43}-1.1959{col 52}0.232{col 60}-.044588{col 73} .010795
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0169{col 33} .02017{col 43}-0.8378{col 52}0.402{col 60}-.056425{col 73} .022632
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake300Colombia.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake300Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Colombia.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     4848{col 34}     7785{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      867{col 34}     3516{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.653{col 34}    2.653
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.653{col 34}    2.653
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03308{col 33}  .0362{col 43}-0.9140{col 52}0.361{col 60}-.104031{col 73} .037861
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00817{col 33}  .0362{col 43}-0.2256{col 52}0.821{col 60}-.079113{col 73} .062779
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00817{col 33} .05105{col 43}-0.1600{col 52}0.873{col 60}-.108224{col 73} .091889
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-300Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-300Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     4901{col 34}     7732{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      866{col 34}     3591{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.611{col 34}    2.611
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.611{col 34}    2.611
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03474{col 33} .03432{col 43}-1.0121{col 52}0.311{col 60}-.102015{col 73} .032535
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0255{col 33} .03432{col 43}0.7429{col 52}0.458{col 60}-.041776{col 73} .092774
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0255{col 33} .05006{col 43}0.5093{col 52}0.611{col 60} -.07262{col 73} .123617
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-290Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-290Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     4953{col 34}     7680{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      820{col 34}     3225{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.364{col 34}    2.364
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.364{col 34}    2.364
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       87{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04024{col 33} .03253{col 43}-1.2371{col 52}0.216{col 60}-.103999{col 73} .023513
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01567{col 33} .03253{col 43}0.4817{col 52}0.630{col 60}-.048085{col 73} .079427
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01567{col 33} .05071{col 43}0.3090{col 52}0.757{col 60}-.083713{col 73} .115055
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-280Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-280Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5019{col 34}     7614{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      819{col 34}     3113{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.233{col 34}    2.233
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.233{col 34}    2.233
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       86{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01263{col 33}  .0322{col 43}-0.3923{col 52}0.695{col 60}-.075742{col 73} .050476
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00378{col 33}  .0322{col 43}0.1173{col 52}0.907{col 60}-.059333{col 73} .066885
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00378{col 33} .05491{col 43}0.0688{col 52}0.945{col 60}-.103841{col 73} .111392
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-270Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-270Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5088{col 34}     7545{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      842{col 34}     3063{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.148{col 34}    2.148
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.148{col 34}    2.148
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       87{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00115{col 33} .03077{col 43}-0.0375{col 52}0.970{col 60}-.061461{col 73} .059153
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03536{col 33} .03077{col 43}1.1491{col 52}0.251{col 60}-.024949{col 73} .095664
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03536{col 33}  .0508{col 43}0.6960{col 52}0.486{col 60}-.064211{col 73} .134927
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-260Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-260Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5155{col 34}     7478{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      882{col 34}     3218{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.156{col 34}    2.156
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.156{col 34}    2.156
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00907{col 33}  .0324{col 43}0.2801{col 52}0.779{col 60}-.054431{col 73} .072581
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0515{col 33}  .0324{col 43}1.5895{col 52}0.112{col 60}-.012003{col 73} .115009
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0515{col 33} .04806{col 43}1.0717{col 52}0.284{col 60}-.042684{col 73}  .14569
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-250Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-250Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5219{col 34}     7414{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      911{col 34}     3270{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.108{col 34}    2.108
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.108{col 34}    2.108
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01622{col 33} .03196{col 43}0.5075{col 52}0.612{col 60}-.046415{col 73} .078851
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05524{col 33} .03196{col 43}1.7286{col 52}0.084{col 60}-.007395{col 73} .117872
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05524{col 33} .04584{col 43}1.2050{col 52}0.228{col 60}-.034612{col 73} .145089
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-240Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-240Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5301{col 34}     7332{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      950{col 34}     3280{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.064{col 34}    2.064
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.064{col 34}    2.064
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00043{col 33} .03256{col 43}-0.0132{col 52}0.989{col 60}-.064245{col 73} .063383
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04654{col 33} .03256{col 43}1.4293{col 52}0.153{col 60}-.017277{col 73} .110351
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04654{col 33} .04641{col 43}1.0028{col 52}0.316{col 60}-.044422{col 73} .137495
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-230Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-230Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5389{col 34}     7244{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      997{col 34}     3268{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.008{col 34}    2.008
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.008{col 34}    2.008
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00186{col 33} .03154{col 43}-0.0590{col 52}0.953{col 60}-.063675{col 73} .059956
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05929{col 33} .03154{col 43}1.8798{col 52}0.060{col 60}-.002528{col 73} .121103
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05929{col 33} .04359{col 43}1.3603{col 52}0.174{col 60}-.026139{col 73} .144713
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-220Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-220Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5488{col 34}     7145{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1042{col 34}     3187{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.917{col 34}    1.917
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.917{col 34}    1.917
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       89

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00245{col 33} .03198{col 43}0.0766{col 52}0.939{col 60} -.06022{col 73} .065122
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08479{col 33} .03198{col 43}2.6517{col 52}0.008{col 60} .022118{col 73}  .14746
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08479{col 33} .04072{col 43}2.0822{col 52}0.037{col 60} .004979{col 73}   .1646
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-210Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-210Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5594{col 34}     7039{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1093{col 34}     3162{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.865{col 34}    1.865
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.865{col 34}    1.865
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       89

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00953{col 33}  .0314{col 43}-0.3035{col 52}0.762{col 60}-.071077{col 73} .052016
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .07591{col 33}  .0314{col 43}2.4174{col 52}0.016{col 60} .014365{col 73} .137458
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .07591{col 33} .03831{col 43}1.9813{col 52}0.048{col 60} .000817{col 73} .151007
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-200Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-200Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5717{col 34}     6916{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1144{col 34}     3033{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.763{col 34}    1.763
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.763{col 34}    1.763
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       89

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01216{col 33}   .031{col 43}-0.3922{col 52}0.695{col 60}-.072909{col 73} .048596
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04071{col 33}   .031{col 43}1.3133{col 52}0.189{col 60}-.020046{col 73} .101459
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04071{col 33} .04068{col 43}1.0007{col 52}0.317{col 60}-.039024{col 73} .120437
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-190Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-190Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5841{col 34}     6792{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1220{col 34}     2987{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.709{col 34}    1.709
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.709{col 34}    1.709
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       89

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03822{col 33} .03034{col 43}-1.2596{col 52}0.208{col 60} -.09768{col 73} .021249
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00713{col 33} .03034{col 43}-0.2351{col 52}0.814{col 60}-.066597{col 73} .052333
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00713{col 33} .04403{col 43}-0.1620{col 52}0.871{col 60}-.093431{col 73} .079167
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-180Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-180Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5971{col 34}     6662{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1281{col 34}     2890{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.631{col 34}    1.631
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.631{col 34}    1.631
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0727{col 33} .02996{col 43}-2.4269{col 52}0.015{col 60}-.131409{col 73}-.013986
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00132{col 33} .02996{col 43}0.0439{col 52}0.965{col 60}-.057396{col 73} .060028
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00132{col 33} .04356{col 43}0.0302{col 52}0.976{col 60} -.08406{col 73} .086692
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-170Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-170Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6091{col 34}     6542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1346{col 34}     2886{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.603{col 34}    1.603
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.603{col 34}    1.603
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09705{col 33} .02976{col 43}-3.2609{col 52}0.001{col 60} -.15538{col 73}-.038718
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02177{col 33} .02976{col 43}-0.7316{col 52}0.464{col 60}-.080105{col 73} .036557
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02177{col 33} .04698{col 43}-0.4635{col 52}0.643{col 60}-.113848{col 73} .070301
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-160Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-160Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6214{col 34}     6419{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1388{col 34}     2825{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.543{col 34}    1.543
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.543{col 34}    1.543
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.10485{col 33} .02716{col 43}-3.8605{col 52}0.000{col 60}-.158076{col 73}-.051615
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00813{col 33} .02716{col 43}-0.2994{col 52}0.765{col 60}-.061362{col 73} .045098
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00813{col 33} .04224{col 43}-0.1925{col 52}0.847{col 60}-.090923{col 73} .074658
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-150Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-150Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6374{col 34}     6259{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1465{col 34}     2729{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.487{col 34}    1.487
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.487{col 34}    1.487
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.11072{col 33} .02705{col 43}-4.0931{col 52}0.000{col 60}-.163739{col 73}-.057702
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0054{col 33} .02705{col 43}-0.1998{col 52}0.842{col 60}-.058422{col 73} .047615
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0054{col 33} .04009{col 43}-0.1348{col 52}0.893{col 60} -.08397{col 73} .073163
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-140Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-140Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6527{col 34}     6106{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1584{col 34}     2748{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.515{col 34}    1.515
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.515{col 34}    1.515
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.1076{col 33} .02834{col 43}-3.7967{col 52}0.000{col 60}-.163151{col 73}-.052055
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02237{col 33} .02834{col 43}0.7893{col 52}0.430{col 60}-.033179{col 73} .077916
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02237{col 33} .03819{col 43}0.5856{col 52}0.558{col 60}-.052492{col 73} .097228
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-130Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-130Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6681{col 34}     5952{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1714{col 34}     2821{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.583{col 34}    1.583
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.583{col 34}    1.583
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.12003{col 33} .02824{col 43}-4.2502{col 52}0.000{col 60}-.175381{col 73}-.064679
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01056{col 33} .02824{col 43}0.3738{col 52}0.709{col 60}-.044796{col 73} .065906
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01056{col 33} .04015{col 43}0.2629{col 52}0.793{col 60}-.068135{col 73} .089246
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-120Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-120Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6860{col 34}     5773{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1848{col 34}     2778{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.615{col 34}    1.615
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.615{col 34}    1.615
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.10624{col 33} .02801{col 43}-3.7936{col 52}0.000{col 60} -.16113{col 73}-.051351
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01053{col 33} .02801{col 43}0.3762{col 52}0.707{col 60}-.044355{col 73} .065424
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01053{col 33} .03767{col 43}0.2797{col 52}0.780{col 60}-.063296{col 73} .084365
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-110Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-110Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7040{col 34}     5593{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1976{col 34}     2699{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.622{col 34}    1.622
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.622{col 34}    1.622
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.08087{col 33} .02801{col 43}-2.8877{col 52}0.004{col 60}-.135765{col 73}-.025984
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03288{col 33} .02801{col 43}-1.1740{col 52}0.240{col 60} -.08777{col 73} .022012
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03288{col 33} .03671{col 43}-0.8956{col 52}0.370{col 60}-.104835{col 73} .039078
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-100Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-100Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7234{col 34}     5399{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2193{col 34}     2720{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.762{col 34}    1.762
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.762{col 34}    1.762
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03422{col 33} .02662{col 43}-1.2858{col 52}0.199{col 60}-.086389{col 73} .017944
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01313{col 33} .02662{col 43}-0.4932{col 52}0.622{col 60}-.065294{col 73}  .03904
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01313{col 33}  .0328{col 43}-0.4002{col 52}0.689{col 60}-.077422{col 73} .051168
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-90Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-90Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7432{col 34}     5201{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2389{col 34}     2680{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.860{col 34}    1.860
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.860{col 34}    1.860
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00495{col 33} .02745{col 43}0.1803{col 52}0.857{col 60}-.048847{col 73} .058746
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02517{col 33} .02745{col 43}-0.9170{col 52}0.359{col 60}-.078966{col 73} .028626
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02517{col 33} .03258{col 43}-0.7726{col 52}0.440{col 60}-.089021{col 73}  .03868
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-80Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-80Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7667{col 34}     4966{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2559{col 34}     2524{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.859{col 34}    1.859
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.859{col 34}    1.859
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0166{col 33} .02633{col 43}0.6303{col 52}0.528{col 60}-.035007{col 73} .068197
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0696{col 33} .02633{col 43}-2.6436{col 52}0.008{col 60}-.121204{col 73}   -.018
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0696{col 33} .03299{col 43}-2.1098{col 52}0.035{col 60}-.134261{col 73}-.004942
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-70Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-70Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7883{col 34}     4750{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2922{col 34}     2559{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.189{col 34}    2.189
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.189{col 34}    2.189
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}   .095{col 33} .02527{col 43}3.7591{col 52}0.000{col 60} .045467{col 73}  .14453
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03517{col 33} .02527{col 43}-1.3916{col 52}0.164{col 60}-.084699{col 73} .014364
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03517{col 33} .03373{col 43}-1.0427{col 52}0.297{col 60}-.101275{col 73} .030939
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-60Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-60Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8073{col 34}     4560{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3126{col 34}     2479{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.307{col 34}    2.307
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.307{col 34}    2.307
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       89

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .13752{col 33} .02507{col 43}5.4844{col 52}0.000{col 60} .088373{col 73} .186662
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0021{col 33} .02507{col 43}0.0839{col 52}0.933{col 60} -.04704{col 73} .051249
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0021{col 33} .03425{col 43}0.0614{col 52}0.951{col 60}-.065026{col 73} .069235
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-50Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-50Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8256{col 34}     4377{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3575{col 34}     2627{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.964{col 34}    2.964
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.964{col 34}    2.964
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .20644{col 33}  .0232{col 43}8.8995{col 52}0.000{col 60} .160978{col 73} .251909
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05468{col 33}  .0232{col 43}2.3574{col 52}0.018{col 60} .009219{col 73} .100151
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05468{col 33} .03069{col 43}1.7817{col 52}0.075{col 60}-.005472{col 73} .114841
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-40Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-40Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8467{col 34}     4166{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4094{col 34}     2691{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.000{col 34}    4.000
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.000{col 34}    4.000
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .27085{col 33} .02137{col 43}12.6726{col 52}0.000{col 60} .228958{col 73} .312738
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .14886{col 33} .02137{col 43}6.9651{col 52}0.000{col 60} .106973{col 73} .190753
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .14886{col 33} .02822{col 43}5.2751{col 52}0.000{col 60} .093553{col 73} .204173
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-30Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-30Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8650{col 34}     3983{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4457{col 34}     2645{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.756{col 34}    4.756
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.756{col 34}    4.756
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .31667{col 33} .02239{col 43}14.1430{col 52}0.000{col 60} .272782{col 73}  .36055
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .23179{col 33} .02239{col 43}10.3524{col 52}0.000{col 60} .187909{col 73} .275678
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .23179{col 33} .02886{col 43}8.0321{col 52}0.000{col 60} .175232{col 73} .288355
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-20Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-20Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8814{col 34}     3819{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4891{col 34}     2657{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.801{col 34}    5.801
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.801{col 34}    5.801
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .34632{col 33} .02219{col 43}15.6051{col 52}0.000{col 60} .302827{col 73} .389822
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .25982{col 33} .02219{col 43}11.7075{col 52}0.000{col 60} .216327{col 73} .303321
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .25982{col 33} .02643{col 43}9.8300{col 52}0.000{col 60} .208019{col 73}  .31163
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake-10Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-10Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5335{col 34}     2612{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.100{col 34}    7.100
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.100{col 34}    7.100
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       95

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .35474{col 33} .02176{col 43}16.2989{col 52}0.000{col 60} .312083{col 73}   .3974
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .29965{col 33} .02176{col 43}13.7677{col 52}0.000{col 60} .256992{col 73} .342308
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .29965{col 33}  .0253{col 43}11.8436{col 52}0.000{col 60} .250062{col 73} .349238
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake0Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake0Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9116{col 34}     3517{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5586{col 34}     2530{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.788{col 34}    7.788
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.788{col 34}    7.788
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       95

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .34782{col 33} .02337{col 43}14.8837{col 52}0.000{col 60} .302013{col 73} .393618
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .28204{col 33} .02337{col 43}12.0692{col 52}0.000{col 60} .236242{col 73} .327846
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .28204{col 33} .02859{col 43}9.8641{col 52}0.000{col 60} .226003{col 73} .338085
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake10Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake10Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9253{col 34}     3380{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5392{col 34}     2293{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.303{col 34}    6.303
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.303{col 34}    6.303
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       94

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .32749{col 33} .02468{col 43}13.2705{col 52}0.000{col 60} .279121{col 73} .375856
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .23907{col 33} .02468{col 43}9.6876{col 52}0.000{col 60} .190702{col 73} .287437
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .23907{col 33} .03026{col 43}7.9008{col 52}0.000{col 60} .179763{col 73} .298376
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake20Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake20Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9386{col 34}     3247{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5105{col 34}     2010{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.903{col 34}    4.903
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.903{col 34}    4.903
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .28756{col 33} .02633{col 43}10.9230{col 52}0.000{col 60} .235962{col 73} .339158
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .16056{col 33} .02633{col 43}6.0988{col 52}0.000{col 60} .108959{col 73} .212156
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .16056{col 33} .03091{col 43}5.1943{col 52}0.000{col 60} .099974{col 73} .221141
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake30Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake30Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9525{col 34}     3108{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4825{col 34}     1703{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.706{col 34}    3.706
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.706{col 34}    3.706
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19516{col 33} .02779{col 43}7.0222{col 52}0.000{col 60} .140689{col 73} .249631
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03393{col 33} .02779{col 43}1.2208{col 52}0.222{col 60}-.020543{col 73} .088399
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03393{col 33} .03812{col 43}0.8901{col 52}0.373{col 60}-.040784{col 73}  .10864
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake40Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake40Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9621{col 34}     3012{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4648{col 34}     1551{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.273{col 34}    3.273
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.273{col 34}    3.273
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .14396{col 33} .02898{col 43}4.9681{col 52}0.000{col 60} .087168{col 73} .200758
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05675{col 33} .02898{col 43}-1.9584{col 52}0.050{col 60}-.113544{col 73} .000045
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05675{col 33}  .0426{col 43}-1.3321{col 52}0.183{col 60}-.140249{col 73} .026751
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake50Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake50Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9719{col 34}     2914{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4358{col 34}     1377{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.831{col 34}    2.831
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.831{col 34}    2.831
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .10581{col 33} .03114{col 43}3.3984{col 52}0.001{col 60} .044787{col 73} .166841
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.10729{col 33} .03114{col 43}-3.4457{col 52}0.001{col 60}-.168314{col 73} -.04626
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.10729{col 33} .04467{col 43}-2.4017{col 52}0.016{col 60}-.194841{col 73}-.019733
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake60Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake60Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9809{col 34}     2824{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4502{col 34}     1348{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.993{col 34}    2.993
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.993{col 34}    2.993
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .10007{col 33} .03185{col 43}3.1417{col 52}0.002{col 60} .037641{col 73} .162494
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.08908{col 33} .03185{col 43}-2.7968{col 52}0.005{col 60}-.151506{col 73}-.026653
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.08908{col 33} .04717{col 43}-1.8884{col 52}0.059{col 60}-.181535{col 73} .003376
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake70Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake70Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9914{col 34}     2719{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4455{col 34}     1248{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.930{col 34}    2.930
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.930{col 34}    2.930
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04891{col 33} .03431{col 43}1.4256{col 52}0.154{col 60} -.01833{col 73} .116143
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.14977{col 33} .03431{col 43}-4.3659{col 52}0.000{col 60}-.217008{col 73}-.082535
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.14977{col 33} .05148{col 43}-2.9092{col 52}0.004{col 60}-.250674{col 73}-.048869
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake80Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake80Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9983{col 34}     2650{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4178{col 34}     1162{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.729{col 34}    2.729
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.729{col 34}    2.729
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00769{col 33} .03552{col 43}0.2165{col 52}0.829{col 60}-.061919{col 73} .077299
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.14866{col 33} .03552{col 43}-4.1857{col 52}0.000{col 60}-.218266{col 73}-.079048
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.14866{col 33} .05085{col 43}-2.9236{col 52}0.003{col 60}-.248315{col 73}-.048999
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake90Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake90Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10055{col 34}     2578{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3935{col 34}     1075{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.577{col 34}    2.577
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.577{col 34}    2.577
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06999{col 33} .03681{col 43}-1.9015{col 52}0.057{col 60}-.142123{col 73} .002153
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.15767{col 33} .03681{col 43}-4.2838{col 52}0.000{col 60}-.229808{col 73}-.085532
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.15767{col 33} .05128{col 43}-3.0745{col 52}0.002{col 60}-.258181{col 73}-.057158
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake100Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake100Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10141{col 34}     2492{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3984{col 34}     1025{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.651{col 34}    2.651
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.651{col 34}    2.651
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.08241{col 33} .04058{col 43}-2.0307{col 52}0.042{col 60}-.161959{col 73} -.00287
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.12974{col 33} .04058{col 43}-3.1968{col 52}0.001{col 60}-.209284{col 73}-.050195
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.12974{col 33}  .0543{col 43}-2.3895{col 52}0.017{col 60}-.236157{col 73}-.023322
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake110Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake110Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10215{col 34}     2418{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3640{col 34}      938{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.469{col 34}    2.469
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.469{col 34}    2.469
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.16357{col 33} .04273{col 43}-3.8283{col 52}0.000{col 60}-.247306{col 73}-.079826
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.17088{col 33} .04273{col 43}-3.9995{col 52}0.000{col 60} -.25462{col 73} -.08714
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.17088{col 33} .05681{col 43}-3.0082{col 52}0.003{col 60}-.282216{col 73}-.059544
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake120Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake120Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10279{col 34}     2354{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3578{col 34}      894{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.482{col 34}    2.482
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.482{col 34}    2.482
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.16529{col 33} .04389{col 43}-3.7661{col 52}0.000{col 60}-.251312{col 73}-.079269
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.11386{col 33} .04389{col 43}-2.5942{col 52}0.009{col 60}-.199881{col 73}-.027838
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.11386{col 33} .05971{col 43}-1.9067{col 52}0.057{col 60}-.230897{col 73} .003178
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake130Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake130Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10337{col 34}     2296{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3326{col 34}      840{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.414{col 34}    2.414
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.414{col 34}    2.414
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.21374{col 33} .04563{col 43}-4.6845{col 52}0.000{col 60}-.303172{col 73}-.124316
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.12525{col 33} .04563{col 43}-2.7451{col 52}0.006{col 60}-.214681{col 73}-.035824
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.12525{col 33}   .063{col 43}-1.9880{col 52}0.047{col 60}-.248738{col 73}-.001767
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake140Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake140Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10380{col 34}     2253{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3114{col 34}      820{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.383{col 34}    2.383
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.383{col 34}    2.383
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.21649{col 33} .04544{col 43}-4.7644{col 52}0.000{col 60}-.305546{col 73}-.127429
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06327{col 33} .04544{col 43}-1.3924{col 52}0.164{col 60}-.152327{col 73}  .02579
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06327{col 33} .06059{col 43}-1.0442{col 52}0.296{col 60}-.182026{col 73} .055488
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake150Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake150Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10449{col 34}     2184{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3280{col 34}      784{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.535{col 34}    2.535
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.535{col 34}    2.535
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.1871{col 33} .04616{col 43}-4.0530{col 52}0.000{col 60} -.27758{col 73}-.096622
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02297{col 33} .04616{col 43}0.4977{col 52}0.619{col 60}-.067504{col 73} .113454
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02297{col 33} .06358{col 43}0.3614{col 52}0.718{col 60}-.101635{col 73} .147585
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake160Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake160Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10495{col 34}     2138{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3235{col 34}      759{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.588{col 34}    2.588
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.588{col 34}    2.588
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.17321{col 33} .04648{col 43}-3.7263{col 52}0.000{col 60} -.26432{col 73}-.082107
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .07813{col 33} .04648{col 43}1.6807{col 52}0.093{col 60}-.012981{col 73} .169232
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .07813{col 33} .06455{col 43}1.2102{col 52}0.226{col 60}  -.0484{col 73}  .20465
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake170Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake170Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10547{col 34}     2086{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2711{col 34}      697{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.423{col 34}    2.423
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.423{col 34}    2.423
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.19346{col 33} .04894{col 43}-3.9531{col 52}0.000{col 60} -.28938{col 73}-.097541
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .07911{col 33} .04894{col 43}1.6164{col 52}0.106{col 60}-.016814{col 73} .175025
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .07911{col 33} .06347{col 43}1.2464{col 52}0.213{col 60} -.04529{col 73} .203502
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake180Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake180Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10599{col 34}     2034{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2739{col 34}      675{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.511{col 34}    2.511
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.511{col 34}    2.511
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.19743{col 33} .04873{col 43}-4.0512{col 52}0.000{col 60}-.292943{col 73}-.101914
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02936{col 33} .04873{col 43}0.6026{col 52}0.547{col 60} -.06615{col 73} .124879
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02936{col 33} .06179{col 43}0.4753{col 52}0.635{col 60}-.091732{col 73} .150462
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake190Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake190Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10659{col 34}     1974{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2837{col 34}      644{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.629{col 34}    2.629
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.629{col 34}    2.629
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.18387{col 33} .05017{col 43}-3.6648{col 52}0.000{col 60}-.282211{col 73}-.085537
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0602{col 33} .05017{col 43}1.1999{col 52}0.230{col 60}-.038134{col 73}  .15854
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0602{col 33} .06687{col 43}0.9003{col 52}0.368{col 60}-.070865{col 73}  .19127
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake200Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake200Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10695{col 34}     1938{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2634{col 34}      624{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.609{col 34}    2.609
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.609{col 34}    2.609
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.16382{col 33} .04835{col 43}-3.3881{col 52}0.001{col 60}-.258588{col 73}-.069052
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .06411{col 33} .04835{col 43}1.3259{col 52}0.185{col 60}-.030658{col 73} .158878
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .06411{col 33} .06994{col 43}0.9166{col 52}0.359{col 60}-.072972{col 73} .201192
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake210Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake210Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10739{col 34}     1894{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2555{col 34}      600{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.631{col 34}    2.631
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.631{col 34}    2.631
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.12452{col 33} .04853{col 43}-2.5660{col 52}0.010{col 60}-.219631{col 73} -.02941
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .12482{col 33} .04853{col 43}2.5721{col 52}0.010{col 60} .029706{col 73} .219927
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .12482{col 33} .06862{col 43}1.8190{col 52}0.069{col 60}-.009673{col 73} .259306
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake220Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake220Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10789{col 34}     1844{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2518{col 34}      578{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.694{col 34}    2.694
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.694{col 34}    2.694
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.11445{col 33} .04872{col 43}-2.3490{col 52}0.019{col 60}-.209938{col 73}-.018953
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .12914{col 33} .04872{col 43}2.6505{col 52}0.008{col 60} .033646{col 73} .224631
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .12914{col 33} .06865{col 43}1.8812{col 52}0.060{col 60}-.005408{col 73} .263685
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake230Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake230Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10821{col 34}     1812{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2332{col 34}      562{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.693{col 34}    2.693
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.693{col 34}    2.693
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0716{col 33}  .0509{col 43}-1.4069{col 52}0.159{col 60}-.171356{col 73} .028149
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .14712{col 33}  .0509{col 43}2.8907{col 52}0.004{col 60} .047371{col 73} .246876
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .14712{col 33} .06842{col 43}2.1504{col 52}0.032{col 60} .013027{col 73} .281219
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake240Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake240Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10862{col 34}     1771{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2315{col 34}      542{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.759{col 34}    2.759
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.759{col 34}    2.759
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06928{col 33}   .052{col 43}-1.3322{col 52}0.183{col 60}-.171196{col 73} .032642
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0814{col 33}   .052{col 43}1.5653{col 52}0.118{col 60}-.020521{col 73} .183318
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0814{col 33} .07098{col 43}1.1468{col 52}0.251{col 60}-.057714{col 73} .220511
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake250Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake250Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10893{col 34}     1740{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2260{col 34}      536{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.808{col 34}    2.808
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.808{col 34}    2.808
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06097{col 33} .05238{col 43}-1.1640{col 52}0.244{col 60}-.163622{col 73}  .04169
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0761{col 33} .05238{col 43}1.4529{col 52}0.146{col 60}-.026559{col 73} .178753
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0761{col 33} .07821{col 43}0.9729{col 52}0.331{col 60}-.077201{col 73} .229395
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake260Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake260Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10929{col 34}     1704{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2192{col 34}      516{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.848{col 34}    2.848
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.848{col 34}    2.848
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01694{col 33} .05181{col 43}-0.3270{col 52}0.744{col 60}-.118487{col 73} .084601
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08257{col 33} .05181{col 43}1.5938{col 52}0.111{col 60}-.018972{col 73} .184116
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08257{col 33} .08193{col 43}1.0079{col 52}0.314{col 60}-.078002{col 73} .243146
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake270Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake270Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10946{col 34}     1687{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1897{col 34}      500{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.753{col 34}    2.753
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.753{col 34}    2.753
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0269{col 33}  .0512{col 43}0.5255{col 52}0.599{col 60}-.073441{col 73}  .12725
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04988{col 33}  .0512{col 43}0.9742{col 52}0.330{col 60}-.050468{col 73} .150223
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04988{col 33} .07943{col 43}0.6279{col 52}0.530{col 60}-.105811{col 73} .205566
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake280Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake280Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10964{col 34}     1669{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1932{col 34}      512{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.860{col 34}    2.860
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.860{col 34}    2.860
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00025{col 33} .05213{col 43}-0.0048{col 52}0.996{col 60}-.102415{col 73} .101917
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01361{col 33} .05213{col 43}0.2610{col 52}0.794{col 60}-.088559{col 73} .115773
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01361{col 33} .07677{col 43}0.1772{col 52}0.859{col 60} -.13686{col 73} .164073
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake290Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake290Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10992{col 34}     1641{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1917{col 34}      506{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.933{col 34}    2.933
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.933{col 34}    2.933
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00793{col 33} .05361{col 43}-0.1479{col 52}0.882{col 60}-.112992{col 73} .097139
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01688{col 33} .05361{col 43}0.3148{col 52}0.753{col 60}-.088189{col 73} .121941
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01688{col 33} .07893{col 43}0.2138{col 52}0.831{col 60}-.137833{col 73} .171585
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
(file {bf}
fake300Denmark.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake300Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Denmark.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    42493{col 34}   112050{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19829{col 34}    63153{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.775{col 34}    2.775
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.775{col 34}    2.775
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    21313{col 34}    66562
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      437{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04038{col 33} .00951{col 43}-4.2450{col 52}0.000{col 60}-.059024{col 73}-.021736
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02075{col 33} .00951{col 43}2.1814{col 52}0.029{col 60} .002106{col 73} .039394
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02075{col 33} .01399{col 43}1.4831{col 52}0.138{col 60}-.006671{col 73} .048171
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-300Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-300Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    43806{col 34}   110737{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20430{col 34}    62192{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.698{col 34}    2.698
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.698{col 34}    2.698
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    21893{col 34}    65982
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      438{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04236{col 33} .00919{col 43}-4.6100{col 52}0.000{col 60} -.06037{col 73} -.02435
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02152{col 33} .00919{col 43}2.3425{col 52}0.019{col 60} .003515{col 73} .039534
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02152{col 33} .01331{col 43}1.6171{col 52}0.106{col 60}-.004564{col 73} .047613
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-290Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-290Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    45203{col 34}   109340{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20872{col 34}    60493{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.579{col 34}    2.579
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.579{col 34}    2.579
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    22533{col 34}    65342
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      438{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04743{col 33} .00933{col 43}-5.0834{col 52}0.000{col 60}-.065712{col 73}-.029141
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00851{col 33} .00933{col 43}0.9123{col 52}0.362{col 60}-.009774{col 73} .026797
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00851{col 33} .01333{col 43}0.6386{col 52}0.523{col 60}-.017612{col 73} .034635
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-280Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-280Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    46706{col 34}   107837{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20322{col 34}    55154{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.258{col 34}    2.258
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.258{col 34}    2.258
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    23245{col 34}    64630
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      439{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03979{col 33} .00984{col 43}-4.0421{col 52}0.000{col 60} -.05908{col 73}-.020495
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0029{col 33} .00984{col 43}0.2946{col 52}0.768{col 60}-.016393{col 73} .022192
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0029{col 33} .01297{col 43}0.2235{col 52}0.823{col 60}-.022525{col 73} .028324
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-270Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-270Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    48263{col 34}   106280{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20390{col 34}    52207{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.089{col 34}    2.089
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.089{col 34}    2.089
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    23979{col 34}    63896
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      438{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02617{col 33} .01012{col 43}-2.5849{col 52}0.010{col 60}-.046012{col 73}-.006327
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0173{col 33} .01012{col 43}1.7091{col 52}0.087{col 60} -.00254{col 73} .037146
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0173{col 33} .01348{col 43}1.2837{col 52}0.199{col 60}-.009115{col 73} .043722
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-260Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-260Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    49858{col 34}   104685{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20333{col 34}    49075{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.916{col 34}    1.916
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.916{col 34}    1.916
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    24722{col 34}    63153
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      439{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02163{col 33} .00996{col 43}-2.1726{col 52}0.030{col 60} -.04115{col 73}-.002118
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02051{col 33} .00996{col 43}2.0595{col 52}0.039{col 60} .000991{col 73} .040024
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02051{col 33} .01341{col 43}1.5295{col 52}0.126{col 60}-.005771{col 73} .046786
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-250Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-250Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    51587{col 34}   102956{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18845{col 34}    41466{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.568{col 34}    1.568
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.568{col 34}    1.568
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    25529{col 34}    62346
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      439{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02327{col 33} .01026{col 43}-2.2685{col 52}0.023{col 60}-.043377{col 73}-.003165
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00694{col 33} .01026{col 43}0.6762{col 52}0.499{col 60}-.013169{col 73} .027043
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00694{col 33} .01469{col 43}0.4722{col 52}0.637{col 60}-.021852{col 73} .035725
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-240Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-240Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    53380{col 34}   101163{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19495{col 34}    41195{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.527{col 34}    1.527
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.527{col 34}    1.527
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    26370{col 34}    61505
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      439{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01677{col 33} .01035{col 43}-1.6205{col 52}0.105{col 60} -.03706{col 73} .003513
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00652{col 33} .01035{col 43}0.6300{col 52}0.529{col 60}-.013765{col 73} .026808
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00652{col 33} .01528{col 43}0.4267{col 52}0.670{col 60}-.023436{col 73} .036479
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-230Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-230Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    55498{col 34}    99045{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19796{col 34}    39055{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.426{col 34}    1.426
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.426{col 34}    1.426
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    27371{col 34}    60504
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01725{col 33}  .0105{col 43}-1.6426{col 52}0.100{col 60}-.037822{col 73} .003332
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0134{col 33}  .0105{col 43}1.2763{col 52}0.202{col 60}-.007177{col 73} .033977
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0134{col 33} .01445{col 43}0.9272{col 52}0.354{col 60}-.014925{col 73} .041725
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-220Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-220Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    57531{col 34}    97012{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19504{col 34}    36213{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.295{col 34}    1.295
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.295{col 34}    1.295
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    28355{col 34}    59520
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0142{col 33} .01072{col 43}-1.3250{col 52}0.185{col 60}-.035208{col 73} .006806
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00573{col 33} .01072{col 43}0.5344{col 52}0.593{col 60}-.015279{col 73} .026735
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00573{col 33} .01433{col 43}0.3997{col 52}0.689{col 60}-.022358{col 73} .033814
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-210Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-210Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    59815{col 34}    94728{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19934{col 34}    34854{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.231{col 34}    1.231
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.231{col 34}    1.231
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    29471{col 34}    58404
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      441{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02427{col 33} .01051{col 43}-2.3087{col 52}0.021{col 60}-.044876{col 73}-.003666
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01849{col 33} .01051{col 43}-1.7591{col 52}0.079{col 60}-.039099{col 73} .002111
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01849{col 33} .01459{col 43}-1.2678{col 52}0.205{col 60}-.047084{col 73} .010097
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-200Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-200Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    62342{col 34}    92201{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20970{col 34}    33919{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.197{col 34}    1.197
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.197{col 34}    1.197
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    30656{col 34}    57219
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01464{col 33} .01122{col 43}-1.3046{col 52}0.192{col 60}-.036625{col 73} .007352
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00545{col 33} .01122{col 43}0.4856{col 52}0.627{col 60}-.016541{col 73} .027436
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00545{col 33} .01464{col 43}0.3721{col 52}0.710{col 60}-.023249{col 73} .034145
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-190Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-190Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    64821{col 34}    89722{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21032{col 34}    31550{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.101{col 34}    1.101
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.101{col 34}    1.101
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    31914{col 34}    55961
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01703{col 33}  .0117{col 43}-1.4563{col 52}0.145{col 60}-.039955{col 73} .005891
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01629{col 33}  .0117{col 43}-1.3926{col 52}0.164{col 60} -.03921{col 73} .006636
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01629{col 33} .01384{col 43}-1.1769{col 52}0.239{col 60} -.04341{col 73} .010837
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-180Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-180Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    67525{col 34}    87018{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    22203{col 34}    30826{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.091{col 34}    1.091
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.091{col 34}    1.091
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    33283{col 34}    54592
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01562{col 33} .01153{col 43}-1.3550{col 52}0.175{col 60}-.038222{col 73} .006975
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00634{col 33} .01153{col 43}-0.5500{col 52}0.582{col 60} -.02894{col 73} .016256
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00634{col 33} .01424{col 43}-0.4454{col 52}0.656{col 60} -.03425{col 73} .021566
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-170Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-170Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    70501{col 34}    84042{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    23318{col 34}    29532{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.069{col 34}    1.069
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.069{col 34}    1.069
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    34770{col 34}    53105
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01274{col 33} .01169{col 43}-1.0896{col 52}0.276{col 60}-.035649{col 73} .010174
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00101{col 33} .01169{col 43}0.0863{col 52}0.931{col 60}-.021903{col 73}  .02392
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00101{col 33} .01474{col 43}0.0684{col 52}0.945{col 60}-.027875{col 73} .029892
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-160Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-160Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    73450{col 34}    81093{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25125{col 34}    29128{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.096{col 34}    1.096
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.096{col 34}    1.096
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    36275{col 34}    51600
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  -.011{col 33}  .0118{col 43}-0.9320{col 52}0.351{col 60}-.034135{col 73} .012134
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00981{col 33}  .0118{col 43}-0.8315{col 52}0.406{col 60}-.032949{col 73}  .01332
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00981{col 33}  .0163{col 43}-0.6022{col 52}0.547{col 60}-.041759{col 73}  .02213
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-150Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-150Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    76485{col 34}    78058{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26643{col 34}    27956{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.102{col 34}    1.102
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.102{col 34}    1.102
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    37861{col 34}    50014
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00064{col 33} .01225{col 43}0.0518{col 52}0.959{col 60}-.023379{col 73} .024649
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00832{col 33} .01225{col 43}0.6787{col 52}0.497{col 60}-.015698{col 73}  .03233
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00832{col 33} .01672{col 43}0.4975{col 52}0.619{col 60}-.024446{col 73} .041078
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-140Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-140Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    79489{col 34}    75054{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28063{col 34}    26719{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.110{col 34}    1.110
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.110{col 34}    1.110
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    39543{col 34}    48332
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01008{col 33} .01249{col 43}0.8069{col 52}0.420{col 60}-.014406{col 73} .034568
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02469{col 33} .01249{col 43}1.9765{col 52}0.048{col 60} .000207{col 73} .049181
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02469{col 33} .01562{col 43}1.5810{col 52}0.114{col 60} -.00592{col 73} .055307
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-130Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-130Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    82555{col 34}    71988{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    29251{col 34}    25157{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.105{col 34}    1.105
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.105{col 34}    1.105
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    41192{col 34}    46683
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00906{col 33} .01429{col 43}0.6341{col 52}0.526{col 60}-.018951{col 73} .037078
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00735{col 33} .01429{col 43}0.5144{col 52}0.607{col 60}-.020663{col 73} .035367
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00735{col 33} .01487{col 43}0.4942{col 52}0.621{col 60}-.021802{col 73} .036506
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-120Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-120Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    85590{col 34}    68953{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31851{col 34}    23669{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.183{col 34}    1.183
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.183{col 34}    1.183
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    42894{col 34}    44981
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00444{col 33} .01519{col 43}0.2925{col 52}0.770{col 60}-.025335{col 73} .034222
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00429{col 33} .01519{col 43}-0.2825{col 52}0.778{col 60} -.03407{col 73} .025487
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00429{col 33} .01661{col 43}-0.2584{col 52}0.796{col 60}-.036843{col 73}  .02826
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-110Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-110Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    88484{col 34}    66059{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    34153{col 34}    23094{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.252{col 34}    1.252
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.252{col 34}    1.252
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    44568{col 34}    43307
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00811{col 33} .01422{col 43}0.5701{col 52}0.569{col 60}-.019759{col 73}  .03597
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01212{col 33} .01422{col 43}-0.8526{col 52}0.394{col 60}-.039985{col 73} .015743
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01212{col 33} .01795{col 43}-0.6751{col 52}0.500{col 60}-.047311{col 73} .023069
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-100Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-100Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    91260{col 34}    63283{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36504{col 34}    22714{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.334{col 34}    1.334
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.334{col 34}    1.334
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    46197{col 34}    41678
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0092{col 33} .01304{col 43}0.7053{col 52}0.481{col 60}-.016365{col 73} .034766
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02443{col 33} .01304{col 43}-1.8727{col 52}0.061{col 60}-.049994{col 73} .001138
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02443{col 33} .01906{col 43}-1.2813{col 52}0.200{col 60}-.061794{col 73} .012938
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-90Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-90Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    93853{col 34}    60690{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    38925{col 34}    22536{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.426{col 34}    1.426
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.426{col 34}    1.426
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    47738{col 34}    40137
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      443

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02598{col 33} .01223{col 43}2.1232{col 52}0.034{col 60} .001997{col 73} .049956
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01008{col 33} .01223{col 43}-0.8239{col 52}0.410{col 60}-.034059{col 73} .013899
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01008{col 33} .01843{col 43}-0.5469{col 52}0.584{col 60}-.046203{col 73} .026043
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-80Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-80Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    96344{col 34}    58199{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    41307{col 34}    22355{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.521{col 34}    1.521
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.521{col 34}    1.521
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    49250{col 34}    38625
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      443

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04417{col 33}  .0122{col 43}3.6203{col 52}0.000{col 60} .020255{col 73} .068075
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00233{col 33}  .0122{col 43}-0.1911{col 52}0.848{col 60}-.026241{col 73} .021579
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00233{col 33} .01748{col 43}-0.1334{col 52}0.894{col 60}-.036585{col 73} .031923
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-70Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-70Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    98551{col 34}    55992{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    44881{col 34}    23085{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.687{col 34}    1.687
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.687{col 34}    1.687
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    50578{col 34}    37297
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .06003{col 33} .01189{col 43}5.0472{col 52}0.000{col 60} .036718{col 73} .083339
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00289{col 33} .01189{col 43}0.2432{col 52}0.808{col 60}-.020418{col 73} .026203
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00289{col 33} .01706{col 43}0.1695{col 52}0.865{col 60}-.030553{col 73} .036338
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-60Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-60Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   100666{col 34}    53877{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    50689{col 34}    24839{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.992{col 34}    1.992
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.992{col 34}    1.992
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    51822{col 34}    36053
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .07741{col 33} .01161{col 43}6.6685{col 52}0.000{col 60} .054658{col 73} .100162
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0094{col 33} .01161{col 43}0.8096{col 52}0.418{col 60}-.013354{col 73}  .03215
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0094{col 33} .01617{col 43}0.5814{col 52}0.561{col 60}-.022285{col 73} .041082
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-50Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-50Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   102654{col 34}    51889{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    48325{col 34}    22476{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.852{col 34}    1.852
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.852{col 34}    1.852
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    53022{col 34}    34853
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .07112{col 33} .01162{col 43}6.1188{col 52}0.000{col 60} .048337{col 73} .093897
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00408{col 33} .01162{col 43}0.3509{col 52}0.726{col 60}-.018702{col 73} .026858
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00408{col 33} .01498{col 43}0.2723{col 52}0.785{col 60}-.025273{col 73}  .03343
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-40Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-40Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   104400{col 34}    50143{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    45732{col 34}    20690{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.749{col 34}    1.749
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.749{col 34}    1.749
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    54096{col 34}    33779
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .06126{col 33} .01118{col 43}5.4808{col 52}0.000{col 60} .039352{col 73} .083165
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00195{col 33} .01118{col 43}-0.1741{col 52}0.862{col 60}-.023852{col 73} .019961
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00195{col 33} .01424{col 43}-0.1367{col 52}0.891{col 60}-.029853{col 73} .025962
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-30Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-30Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   106034{col 34}    48509{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    44138{col 34}    19691{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.717{col 34}    1.717
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.717{col 34}    1.717
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    55140{col 34}    32735
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .06174{col 33}  .0112{col 43}5.5135{col 52}0.000{col 60}  .03979{col 73} .083682
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00799{col 33}  .0112{col 43}0.7137{col 52}0.475{col 60}-.013954{col 73} .029938
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00799{col 33} .01501{col 43}0.5325{col 52}0.594{col 60}-.021424{col 73} .037408
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-20Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-20Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   107630{col 34}    46913{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    39849{col 34}    17872{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.592{col 34}    1.592
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.592{col 34}    1.592
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56196{col 34}    31679
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05321{col 33} .01143{col 43}4.6535{col 52}0.000{col 60} .030798{col 73} .075618
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02051{col 33} .01143{col 43}1.7940{col 52}0.073{col 60}-.001898{col 73} .042922
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02051{col 33} .01674{col 43}1.2257{col 52}0.220{col 60}-.012288{col 73} .053313
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake-10Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake-10Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    34541{col 34}    16816{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.481{col 34}    1.481
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.481{col 34}    1.481
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0266{col 33} .01144{col 43}2.3255{col 52}0.020{col 60} .004181{col 73} .049012
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0041{col 33} .01144{col 43}-0.3584{col 52}0.720{col 60}-.026515{col 73} .018317
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0041{col 33} .01854{col 43}-0.2211{col 52}0.825{col 60}-.040436{col 73} .032237
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake0Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake0Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   109477{col 34}    45066{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    29931{col 34}    16077{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.398{col 34}    1.398
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.398{col 34}    1.398
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    57656{col 34}    30219
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0185{col 33}   .012{col 43}1.5415{col 52}0.123{col 60} -.00502{col 73} .042011
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00746{col 33}   .012{col 43}-0.6220{col 52}0.534{col 60}-.030979{col 73} .016052
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00746{col 33} .01879{col 43}-0.3973{col 52}0.691{col 60}-.044284{col 73} .029357
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake10Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake10Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   110873{col 34}    43670{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    29952{col 34}    15987{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.455{col 34}    1.455
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.455{col 34}    1.455
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    58622{col 34}    29253
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01746{col 33} .01216{col 43}1.4363{col 52}0.151{col 60}-.006367{col 73} .041293
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01213{col 33} .01216{col 43}0.9980{col 52}0.318{col 60}-.011696{col 73} .035964
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01213{col 33}  .0171{col 43}0.7097{col 52}0.478{col 60}-.021377{col 73} .045645
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake20Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake20Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   112241{col 34}    42302{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24978{col 34}    14514{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.342{col 34}    1.342
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.342{col 34}    1.342
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    59497{col 34}    28378
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00312{col 33} .01314{col 43}-0.2372{col 52}0.813{col 60}-.028869{col 73} .022636
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00746{col 33} .01314{col 43}0.5677{col 52}0.570{col 60}-.018294{col 73} .033211
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00746{col 33} .01538{col 43}0.4849{col 52}0.628{col 60}-.022689{col 73} .037606
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake30Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake30Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113524{col 34}    41019{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20968{col 34}    13305{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.250{col 34}    1.250
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.250{col 34}    1.250
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    60308{col 34}    27567
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02723{col 33} .01311{col 43}-2.0774{col 52}0.038{col 60}-.052915{col 73}-.001539
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00503{col 33} .01311{col 43}-0.3841{col 52}0.701{col 60}-.030722{col 73} .020654
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00503{col 33} .01636{col 43}-0.3078{col 52}0.758{col 60}-.037093{col 73} .027025
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake40Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake40Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114800{col 34}    39743{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21830{col 34}    13553{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.335{col 34}    1.335
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.335{col 34}    1.335
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    61134{col 34}    26741
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03179{col 33} .01233{col 43}-2.5790{col 52}0.010{col 60}-.055952{col 73}-.007631
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00314{col 33} .01233{col 43}-0.2547{col 52}0.799{col 60}-.027301{col 73}  .02102
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00314{col 33} .01583{col 43}-0.1984{col 52}0.843{col 60}-.034159{col 73} .027878
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake50Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake50Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   116071{col 34}    38472{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17524{col 34}    11991{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.200{col 34}    1.200
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.200{col 34}    1.200
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    61905{col 34}    25970
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      437{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03798{col 33} .01176{col 43}-3.2295{col 52}0.001{col 60}-.061035{col 73}-.014931
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02326{col 33} .01176{col 43}-1.9780{col 52}0.048{col 60}-.046315{col 73}-.000212
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02326{col 33} .01654{col 43}-1.4069{col 52}0.159{col 60}-.055673{col 73} .009146
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake60Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake60Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   117297{col 34}    37246{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16151{col 34}    11327{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.177{col 34}    1.177
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.177{col 34}    1.177
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    62677{col 34}    25198
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03608{col 33} .01217{col 43}-2.9640{col 52}0.003{col 60}-.059936{col 73}-.012222
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00454{col 33} .01217{col 43}-0.3734{col 52}0.709{col 60}-.028402{col 73} .019312
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00454{col 33} .01693{col 43}-0.2685{col 52}0.788{col 60}-.037724{col 73} .028634
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake70Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake70Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   118448{col 34}    36095{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15435{col 34}    10897{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.181{col 34}    1.181
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.181{col 34}    1.181
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    63367{col 34}    24508
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02266{col 33} .01248{col 43}-1.8156{col 52}0.069{col 60}-.047127{col 73} .001802
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0211{col 33} .01248{col 43}1.6901{col 52}0.091{col 60}-.003368{col 73} .045561
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0211{col 33} .01723{col 43}1.2245{col 52}0.221{col 60}-.012671{col 73} .054864
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake80Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake80Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   119606{col 34}    34937{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14820{col 34}    10420{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.178{col 34}    1.178
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.178{col 34}    1.178
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    64072{col 34}    23803
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0312{col 33} .01256{col 43}-2.4834{col 52}0.013{col 60}-.055831{col 73}-.006578
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00213{col 33} .01256{col 43}-0.1696{col 52}0.865{col 60}-.026758{col 73} .022496
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00213{col 33} .01721{col 43}-0.1238{col 52}0.901{col 60}-.035854{col 73} .031592
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake90Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake90Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   120706{col 34}    33837{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15028{col 34}    10306{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.222{col 34}    1.222
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.222{col 34}    1.222
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    64757{col 34}    23118
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02356{col 33} .01221{col 43}-1.9293{col 52}0.054{col 60}  -.0475{col 73} .000375
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00336{col 33} .01221{col 43}0.2753{col 52}0.783{col 60}-.020575{col 73} .027299
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00336{col 33} .01778{col 43}0.1891{col 52}0.850{col 60} -.03149{col 73} .038214
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake100Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake100Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   121768{col 34}    32775{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15113{col 34}    10090{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.259{col 34}    1.259
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.259{col 34}    1.259
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    65429{col 34}    22446
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01956{col 33} .01243{col 43}-1.5738{col 52}0.116{col 60}-.043919{col 73} .004799
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0035{col 33} .01243{col 43}-0.2814{col 52}0.778{col 60}-.027857{col 73} .020862
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0035{col 33} .01824{col 43}-0.1918{col 52}0.848{col 60}-.039246{col 73} .032251
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake110Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake110Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122747{col 34}    31796{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15004{col 34}     9870{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.293{col 34}    1.293
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.293{col 34}    1.293
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    66056{col 34}    21819
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00126{col 33} .01277{col 43}-0.0985{col 52}0.922{col 60}-.026285{col 73} .023769
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0061{col 33} .01277{col 43}-0.4780{col 52}0.633{col 60} -.03113{col 73} .018924
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0061{col 33} .01809{col 43}-0.3373{col 52}0.736{col 60}-.041564{col 73} .029358
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake120Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake120Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   123757{col 34}    30786{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16053{col 34}    10013{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.395{col 34}    1.395
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.395{col 34}    1.395
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    66661{col 34}    21214
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02741{col 33} .01267{col 43}2.1639{col 52}0.030{col 60} .002583{col 73} .052244
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05778{col 33} .01267{col 43}4.5604{col 52}0.000{col 60} .032945{col 73} .082606
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05778{col 33} .01771{col 43}3.2629{col 52}0.001{col 60}  .02307{col 73}  .09248
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake130Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake130Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   124638{col 34}    29905{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16097{col 34}     9786{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.419{col 34}    1.419
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.419{col 34}    1.419
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67222{col 34}    20653
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0152{col 33} .01284{col 43}1.1840{col 52}0.236{col 60}-.009965{col 73} .040373
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02919{col 33} .01284{col 43}2.2734{col 52}0.023{col 60} .004024{col 73} .054363
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02919{col 33} .01834{col 43}1.5915{col 52}0.111{col 60}-.006758{col 73} .065145
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake140Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake140Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125567{col 34}    28976{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16967{col 34}     9703{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.485{col 34}    1.485
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.485{col 34}    1.485
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67799{col 34}    20076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0004{col 33} .01247{col 43}-0.0324{col 52}0.974{col 60}-.024853{col 73} .024046
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}   .003{col 33} .01247{col 43}0.2407{col 52}0.810{col 60}-.021447{col 73} .027452
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}   .003{col 33} .01883{col 43}0.1594{col 52}0.873{col 60}-.033909{col 73} .039914
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake150Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake150Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   126431{col 34}    28112{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16946{col 34}     9360{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.499{col 34}    1.499
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.499{col 34}    1.499
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    68326{col 34}    19549
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00268{col 33} .01258{col 43}0.2129{col 52}0.831{col 60}-.021971{col 73} .027327
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00446{col 33} .01258{col 43}-0.3548{col 52}0.723{col 60}-.029112{col 73} .020187
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00446{col 33} .01859{col 43}-0.2400{col 52}0.810{col 60}-.040899{col 73} .031974
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake160Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake160Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   127249{col 34}    27294{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17308{col 34}     9334{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.569{col 34}    1.569
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.569{col 34}    1.569
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    68806{col 34}    19069
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00332{col 33} .01233{col 43}0.2690{col 52}0.788{col 60}-.020853{col 73} .027489
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00533{col 33} .01233{col 43}-0.4321{col 52}0.666{col 60}  -.0295{col 73} .018843
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00533{col 33} .01781{col 43}-0.2991{col 52}0.765{col 60}-.040244{col 73} .029587
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake170Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake170Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   128060{col 34}    26483{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18563{col 34}     9436{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.699{col 34}    1.699
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.699{col 34}    1.699
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    69289{col 34}    18586
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00133{col 33} .01235{col 43}-0.1077{col 52}0.914{col 60}-.025538{col 73} .022878
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02117{col 33} .01235{col 43}1.7137{col 52}0.087{col 60}-.003041{col 73} .045375
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02117{col 33}  .0179{col 43}1.1827{col 52}0.237{col 60}-.013911{col 73} .056244
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake180Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake180Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   128807{col 34}    25736{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18358{col 34}     9235{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.732{col 34}    1.732
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.732{col 34}    1.732
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    69778{col 34}    18097
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00677{col 33}  .0124{col 43}-0.5459{col 52}0.585{col 60}-.031078{col 73} .017537
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00034{col 33}  .0124{col 43}0.0274{col 52}0.978{col 60}-.023967{col 73} .024648
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00034{col 33} .01823{col 43}0.0187{col 52}0.985{col 60}-.035393{col 73} .036074
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake190Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake190Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   129465{col 34}    25078{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17789{col 34}     8963{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.741{col 34}    1.741
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.741{col 34}    1.741
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70198{col 34}    17677
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0053{col 33} .01242{col 43}-0.4266{col 52}0.670{col 60}-.029651{col 73} .019051
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00111{col 33} .01242{col 43}-0.0894{col 52}0.929{col 60}-.025462{col 73}  .02324
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00111{col 33}  .0184{col 43}-0.0604{col 52}0.952{col 60}-.037165{col 73} .034943
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake200Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake200Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   130153{col 34}    24390{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18349{col 34}     8941{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.830{col 34}    1.830
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.830{col 34}    1.830
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70642{col 34}    17233
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00619{col 33} .01221{col 43}-0.5070{col 52}0.612{col 60}-.030133{col 73} .017747
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01534{col 33} .01221{col 43}-1.2558{col 52}0.209{col 60}-.039279{col 73}   .0086
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01534{col 33} .01821{col 43}-0.8422{col 52}0.400{col 60}-.051036{col 73} .020357
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake210Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake210Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   130872{col 34}    23671{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19919{col 34}     9066{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.993{col 34}    1.993
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.993{col 34}    1.993
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71099{col 34}    16776
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00903{col 33} .01208{col 43}-0.7470{col 52}0.455{col 60} -.03271{col 73} .014657
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01614{col 33} .01208{col 43}-1.3357{col 52}0.182{col 60}-.039824{col 73} .007543
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01614{col 33}  .0175{col 43}-0.9225{col 52}0.356{col 60}-.050433{col 73} .018152
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake220Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake220Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   131498{col 34}    23045{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19823{col 34}     8879{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.041{col 34}    2.041
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.041{col 34}    2.041
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71492{col 34}    16383
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01381{col 33} .01221{col 43}-1.1309{col 52}0.258{col 60}-.037748{col 73} .010126
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03833{col 33} .01221{col 43}-3.1382{col 52}0.002{col 60}-.062263{col 73} -.01439
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03833{col 33} .01781{col 43}-2.1518{col 52}0.031{col 60}-.073236{col 73}-.003417
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake230Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake230Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   132091{col 34}    22452{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21478{col 34}     9046{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.219{col 34}    2.219
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.219{col 34}    2.219
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71882{col 34}    15993
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01244{col 33} .01234{col 43}-1.0084{col 52}0.313{col 60}-.036615{col 73} .011737
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0277{col 33} .01234{col 43}-2.2456{col 52}0.025{col 60}-.051876{col 73}-.003524
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0277{col 33} .01719{col 43}-1.6118{col 52}0.107{col 60}-.061383{col 73} .005983
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake240Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake240Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   132658{col 34}    21885{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21590{col 34}     8897{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.284{col 34}    2.284
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.284{col 34}    2.284
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72239{col 34}    15636
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-2.2e-05{col 33} .01227{col 43}-0.0018{col 52}0.999{col 60}-.024064{col 73}  .02402
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01212{col 33} .01227{col 43}-0.9880{col 52}0.323{col 60}-.036161{col 73} .011923
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01212{col 33} .01756{col 43}-0.6903{col 52}0.490{col 60}-.046528{col 73}  .02229
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake250Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake250Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   133240{col 34}    21303{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21199{col 34}     8659{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.314{col 34}    2.314
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.314{col 34}    2.314
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72598{col 34}    15277
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00487{col 33} .01246{col 43}-0.3905{col 52}0.696{col 60}-.029286{col 73} .019555
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03711{col 33} .01246{col 43}-2.9788{col 52}0.003{col 60}-.061535{col 73}-.012694
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03711{col 33} .01796{col 43}-2.0662{col 52}0.039{col 60} -.07232{col 73}-.001909
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake260Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake260Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   133787{col 34}    20756{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    23266{col 34}     8831{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.526{col 34}    2.526
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.526{col 34}    2.526
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72967{col 34}    14908
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00153{col 33} .01216{col 43}-0.1262{col 52}0.900{col 60}-.025367{col 73} .022299
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01563{col 33} .01216{col 43}-1.2851{col 52}0.199{col 60} -.03946{col 73} .008207
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01563{col 33} .01719{col 43}-0.9092{col 52}0.363{col 60}-.049314{col 73} .018061
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake270Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake270Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   134324{col 34}    20219{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25948{col 34}     9195{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.842{col 34}    2.842
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.842{col 34}    2.842
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73307{col 34}    14568
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00715{col 33} .01179{col 43}0.6067{col 52}0.544{col 60}-.015954{col 73}  .03026
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00934{col 33} .01179{col 43}0.7920{col 52}0.428{col 60} -.01377{col 73} .032444
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00934{col 33} .01704{col 43}0.5478{col 52}0.584{col 60} -.02407{col 73} .042744
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake280Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake280Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   134826{col 34}    19717{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26464{col 34}     9087{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.944{col 34}    2.944
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.944{col 34}    2.944
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73627{col 34}    14248
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0013{col 33} .01176{col 43}0.1104{col 52}0.912{col 60}-.021748{col 73} .024346
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01252{col 33} .01176{col 43}-1.0643{col 52}0.287{col 60}-.035562{col 73} .010532
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01252{col 33} .01726{col 43}-0.7251{col 52}0.468{col 60}-.046343{col 73} .021312
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake290Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake290Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   135335{col 34}    19208{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    29753{col 34}     9280{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.229{col 34}    3.229
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.229{col 34}    3.229
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73943{col 34}    13932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00457{col 33} .01178{col 43}-0.3879{col 52}0.698{col 60}-.027661{col 73}  .01852
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01735{col 33} .01178{col 43}1.4727{col 52}0.141{col 60}-.005741{col 73}  .04044
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01735{col 33} .01676{col 43}1.0353{col 52}0.301{col 60}-.015497{col 73} .050195
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
(file {bf}
fake300Finland.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fake300Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Finland.dta{rm}
saved
{p_end}

{com}. preserve        
{txt}
{com}.         
. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}.         
. levelsof country, local(election)
{res}{txt}`"Brazil"' `"Colombia"' `"Denmark"' `"Finland"'

{com}.         foreach x of local election {c -(}
{txt}  2{com}.                 use "fake-300`x'.dta", clear
{txt}  3{com}.                 forvalues i=-290(10)300 {c -(}
{txt}  4{com}.                 append using fake`i'`x'.dta
{txt}  5{com}.                 {c )-}       
{txt}  6{com}. 
. duplicates drop cutoff parm, force
{txt}  7{com}. 
. twoway (rline min95 max95 cutoff if parm=="Conventional", plotregion(lcolor(black)) ylabel(,format(%9.2f)) lpattern(dash) lcolor(gray) xlabel(-3(1)3, format(%9.0f)) subtitle("Conventional, p = 1, MSE", position(11)) legend(off) xtitle("Cutoff") ytitle(Estimated effect)  graphregion(color(white))  xline(0, lcolor(cranberry)) yline(0, lcolor(black) lwidth(vthin))) (scatter estimate cutoff if parm=="Conventional", connect(direct) lcolor(black) msymbol(none))
{txt}  8{com}. graph save "$dir/temp/fakecutoff1_`x'1a.gph", replace
{txt}  9{com}. twoway (rline min95 max95 cutoff if parm=="Robust", plotregion(lcolor(black)) ylabel(,format(%9.2f)) lpattern(dash) lcolor(gray) xlabel(-3(1)3, format(%9.0f)) subtitle("Robust, p = 1, MSE", position(11)) legend(off) xtitle("Cutoff") ytitle(Estimated effect)  graphregion(color(white))  xline(0, lcolor(cranberry)) yline(0, lcolor(black) lwidth(vthin))) (scatter estimate cutoff if parm=="Robust", connect(direct) lcolor(black) msymbol(none))
{txt} 10{com}. graph save "$dir/temp/fakecutoff2_`x'1a.gph", replace
{txt} 11{com}.         {c )-}

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Brazil1a.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Brazil1a.gph} saved
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Brazil1a.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Brazil1a.gph} saved

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Colombia1a.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Colombia1a.gph} saved
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Colombia1a.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Colombia1a.gph} saved

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Denmark1a.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Denmark1a.gph} saved
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Denmark1a.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Denmark1a.gph} saved

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Finland1a.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Finland1a.gph} saved
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Finland1a.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Finland1a.gph} saved

{com}. restore
{txt}
{com}. 
. est clear
{txt}
{com}. 
. // p = 1, CER-optimal bandwidths
. 
. levelsof country, local(election)
{res}{txt}`"Brazil"' `"Colombia"' `"Denmark"' `"Finland"'

{com}.                 foreach x of local election {c -(}
{txt}  2{com}.                 preserve
{txt}  3{com}.                 forvalues i=-300(10)300 {c -(}
{txt}  4{com}.                         local k = `i'/100
{txt}  5{com}.                         rdrobust runningnextelection rv if rv!=0 & country=="`x'", all rho(1) c(`k') vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{txt}  6{com}.                         parmest, saving("fake`i'`x'.dta", replace)
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}. 
.                 forvalues i=-300(10)300 {c -(}
{txt}  9{com}. 
.                         use fake`i'`x'.dta, clear
{txt} 10{com}.                         gen cutoff =`i'/100
{txt} 11{com}.                         save, replace
{txt} 12{com}.                         sleep 500
{txt} 13{com}.                 {c )-}
{txt} 14{com}.                 restore
{txt} 15{com}.         {c )-}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   417254{col 34}   179006{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27761{col 34}    25397{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.035{col 34}    1.035
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.035{col 34}    1.035
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   282598{col 34}   131787
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5329{col 34}     5337

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00778{col 33} .00905{col 43}0.8600{col 52}0.390{col 60}-.009955{col 73} .025522
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00619{col 33} .00905{col 43}0.6843{col 52}0.494{col 60}-.011545{col 73} .023932
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00619{col 33}  .0134{col 43}0.4623{col 52}0.644{col 60}-.020061{col 73} .032448
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-300Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   419929{col 34}   176331{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28926{col 34}    26179{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.082{col 34}    1.082
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.082{col 34}    1.082
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   284414{col 34}   129971
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5362{col 34}     5356

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01477{col 33} .00899{col 43}1.6441{col 52}0.100{col 60}-.002838{col 73} .032384
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0091{col 33} .00899{col 43}1.0132{col 52}0.311{col 60}-.008507{col 73} .026715
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0091{col 33} .01306{col 43}0.6972{col 52}0.486{col 60} -.01649{col 73} .034698
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-290Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   422470{col 34}   173790{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    33917{col 34}    30436{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.269{col 34}    1.269
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.269{col 34}    1.269
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   286147{col 34}   128238
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5439{col 34}     5437

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0094{col 33} .00832{col 43}1.1289{col 52}0.259{col 60}-.006917{col 73} .025708
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00116{col 33} .00832{col 43}0.1391{col 52}0.889{col 60}-.015154{col 73}  .01747
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00116{col 33} .01205{col 43}0.0961{col 52}0.923{col 60}-.022452{col 73} .024768
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-280Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   425024{col 34}   171236{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    41105{col 34}    36094{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.529{col 34}    1.529
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.529{col 34}    1.529
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   287869{col 34}   126516
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5490{col 34}     5492

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0052{col 33} .00772{col 43}0.6732{col 52}0.501{col 60} -.00993{col 73} .020322
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01447{col 33} .00772{col 43}1.8751{col 52}0.061{col 60}-.000655{col 73} .029597
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01447{col 33} .01098{col 43}1.3182{col 52}0.187{col 60}-.007045{col 73} .035986
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-270Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   427590{col 34}   168670{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    34547{col 34}    30857{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.308{col 34}    1.308
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.308{col 34}    1.308
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   289607{col 34}   124778
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5447{col 34}     5439

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00435{col 33}  .0083{col 43}-0.5246{col 52}0.600{col 60}-.020615{col 73}  .01191
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00698{col 33}  .0083{col 43}0.8407{col 52}0.401{col 60}-.009287{col 73} .023238
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00698{col 33} .01191{col 43}0.5855{col 52}0.558{col 60}-.016376{col 73} .030328
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-260Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   429942{col 34}   166318{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26381{col 34}    24184{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.020{col 34}    1.020
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.020{col 34}    1.020
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   291259{col 34}   123126
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5336{col 34}     5335

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00163{col 33} .00919{col 43}-0.1770{col 52}0.860{col 60}-.019638{col 73} .016386
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00555{col 33} .00919{col 43}-0.6041{col 52}0.546{col 60}-.023563{col 73}  .01246
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00555{col 33} .01389{col 43}-0.3997{col 52}0.689{col 60}-.032773{col 73}  .02167
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-250Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   432367{col 34}   163893{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    22601{col 34}    21034{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.890{col 34}    0.890
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.890{col 34}    0.890
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   292951{col 34}   121434
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5241{col 34}     5242

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00185{col 33} .00988{col 43}-0.1872{col 52}0.852{col 60}-.021206{col 73} .017508
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00912{col 33} .00988{col 43}0.9234{col 52}0.356{col 60}-.010237{col 73} .028477
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00912{col 33} .01474{col 43}0.6187{col 52}0.536{col 60} -.01977{col 73}  .03801
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-240Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   434827{col 34}   161433{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20544{col 34}    19158{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.815{col 34}    0.815
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.815{col 34}    0.815
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   294623{col 34}   119762
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5168{col 34}     5161

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00592{col 33} .01051{col 43}0.5633{col 52}0.573{col 60}-.014679{col 73} .026518
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0408{col 33} .01051{col 43}3.8819{col 52}0.000{col 60} .020198{col 73} .061395
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0408{col 33}  .0154{col 43}2.6497{col 52}0.008{col 60}  .01062{col 73} .070974
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-230Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   437158{col 34}   159102{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18391{col 34}    17534{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.743{col 34}    0.743
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.743{col 34}    0.743
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   296222{col 34}   118163
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5068{col 34}     5071

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00053{col 33} .01104{col 43}0.0478{col 52}0.962{col 60}-.021116{col 73} .022172
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02194{col 33} .01104{col 43}1.9867{col 52}0.047{col 60} .000296{col 73} .043583
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02194{col 33} .01623{col 43}1.3517{col 52}0.176{col 60}-.009873{col 73} .053752
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-220Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   439473{col 34}   156787{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16900{col 34}    16433{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.696{col 34}    0.696
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.696{col 34}    0.696
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   297810{col 34}   116575
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     4983{col 34}     5000

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0086{col 33} .01131{col 43}-0.7602{col 52}0.447{col 60}-.030777{col 73} .013574
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0169{col 33} .01131{col 43}1.4932{col 52}0.135{col 60}-.005281{col 73} .039071
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0169{col 33} .01673{col 43}1.0096{col 52}0.313{col 60}-.015903{col 73} .049693
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-210Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   441746{col 34}   154514{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16087{col 34}    15988{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.676{col 34}    0.676
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.676{col 34}    0.676
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   299412{col 34}   114973
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     4950{col 34}     4956

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01203{col 33} .01169{col 43}-1.0291{col 52}0.303{col 60}-.034955{col 73} .010885
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00171{col 33} .01169{col 43}-0.1464{col 52}0.884{col 60}-.024632{col 73} .021208
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00171{col 33} .01687{col 43}-0.1015{col 52}0.919{col 60} -.03478{col 73} .031356
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-200Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   444204{col 34}   152056{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15807{col 34}    15548{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.667{col 34}    0.667
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.667{col 34}    0.667
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   301070{col 34}   113315
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     4950{col 34}     4915

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01149{col 33} .01222{col 43}-0.9398{col 52}0.347{col 60} -.03544{col 73} .012468
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01137{col 33} .01222{col 43}-0.9305{col 52}0.352{col 60}-.035327{col 73} .012582
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01137{col 33} .01712{col 43}-0.6642{col 52}0.507{col 60}-.044934{col 73} .022189
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-190Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   446600{col 34}   149660{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15888{col 34}    15387{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.669{col 34}    0.669
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.669{col 34}    0.669
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   302667{col 34}   111718
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     4966{col 34}     4936

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01214{col 33} .01272{col 43}-0.9545{col 52}0.340{col 60}-.037066{col 73} .012788
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00332{col 33} .01272{col 43}-0.2614{col 52}0.794{col 60}-.028252{col 73} .021602
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00332{col 33} .01772{col 43}-0.1877{col 52}0.851{col 60} -.03805{col 73} .031401
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-180Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   449030{col 34}   147230{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15949{col 34}    15161{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.670{col 34}    0.670
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.670{col 34}    0.670
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   304324{col 34}   110061
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     4969{col 34}     4934

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00308{col 33} .01259{col 43}-0.2449{col 52}0.807{col 60}-.027765{col 73} .021597
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00567{col 33} .01259{col 43}-0.4500{col 52}0.653{col 60}-.030347{col 73} .019015
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00567{col 33} .01899{col 43}-0.2984{col 52}0.765{col 60}-.042883{col 73}  .03155
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-170Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   451305{col 34}   144955{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16151{col 34}    15344{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.685{col 34}    0.685
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.685{col 34}    0.685
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   305923{col 34}   108462
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5001{col 34}     4974

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0211{col 33} .01276{col 43}1.6537{col 52}0.098{col 60}-.003908{col 73} .046109
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01827{col 33} .01276{col 43}1.4321{col 52}0.152{col 60}-.006735{col 73} .043282
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01827{col 33} .01897{col 43}0.9632{col 52}0.335{col 60}-.018908{col 73} .055455
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-160Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   453634{col 34}   142626{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16259{col 34}    15295{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.691{col 34}    0.691
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.691{col 34}    0.691
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   307533{col 34}   106852
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5010{col 34}     4978

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01097{col 33}  .0125{col 43}0.8775{col 52}0.380{col 60}-.013533{col 73} .035476
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00798{col 33}  .0125{col 43}-0.6384{col 52}0.523{col 60}-.032486{col 73} .016523
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00798{col 33} .01747{col 43}-0.4569{col 52}0.648{col 60}-.042219{col 73} .026255
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-150Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   455997{col 34}   140263{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16752{col 34}    15407{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.710{col 34}    0.710
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.710{col 34}    0.710
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   309168{col 34}   105217
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5025{col 34}     5016

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00124{col 33} .01223{col 43}0.1014{col 52}0.919{col 60} -.02273{col 73} .025211
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01492{col 33} .01223{col 43}-1.2199{col 52}0.223{col 60} -.03889{col 73} .009052
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01492{col 33} .01701{col 43}-0.8772{col 52}0.380{col 60}-.048255{col 73} .018417
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-140Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   458277{col 34}   137983{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17319{col 34}    15885{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.737{col 34}    0.737
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.737{col 34}    0.737
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   310746{col 34}   103639
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5062{col 34}     5060

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00608{col 33} .01173{col 43}-0.5183{col 52}0.604{col 60}-.029072{col 73} .016911
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02751{col 33} .01173{col 43}-2.3452{col 52}0.019{col 60}-.050502{col 73}-.004519
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02751{col 33} .01667{col 43}-1.6500{col 52}0.099{col 60}-.060188{col 73} .005167
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-130Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   460455{col 34}   135805{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19404{col 34}    17765{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.832{col 34}    0.832
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.832{col 34}    0.832
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   312256{col 34}   102129
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5162{col 34}     5162

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01014{col 33} .01101{col 43}0.9209{col 52}0.357{col 60}-.011438{col 73} .031712
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00953{col 33} .01101{col 43}-0.8659{col 52}0.387{col 60}-.031107{col 73} .012043
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00953{col 33} .01575{col 43}-0.6053{col 52}0.545{col 60}-.040396{col 73} .021332
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-120Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   462704{col 34}   133556{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19106{col 34}    17389{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.826{col 34}    0.826
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.826{col 34}    0.826
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   313770{col 34}   100615
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5153{col 34}     5127

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00527{col 33} .01084{col 43}0.4862{col 52}0.627{col 60}-.015973{col 73} .026512
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00348{col 33} .01084{col 43}-0.3208{col 52}0.748{col 60} -.02472{col 73} .017765
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00348{col 33} .01594{col 43}-0.2181{col 52}0.827{col 60}-.034728{col 73} .027774
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-110Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   464822{col 34}   131438{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18200{col 34}    16784{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.799{col 34}    0.799
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.799{col 34}    0.799
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   315242{col 34}    99143
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5126{col 34}     5098

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00093{col 33} .01093{col 43}0.0847{col 52}0.933{col 60}-.020504{col 73} .022356
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00341{col 33} .01093{col 43}0.3118{col 52}0.755{col 60}-.018021{col 73} .024839
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00341{col 33} .01613{col 43}0.2114{col 52}0.833{col 60}  -.0282{col 73} .035018
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-100Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   466962{col 34}   129298{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17227{col 34}    16041{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.768{col 34}    0.768
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.768{col 34}    0.768
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   316702{col 34}    97683
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5101{col 34}     5028

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00237{col 33} .01104{col 43}0.2146{col 52}0.830{col 60}-.019268{col 73} .024005
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}   .015{col 33} .01104{col 43}1.3587{col 52}0.174{col 60}-.006637{col 73} .036635
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}   .015{col 33} .01651{col 43}0.9082{col 52}0.364{col 60} -.01737{col 73} .047368
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-90Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   469107{col 34}   127153{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17051{col 34}    15670{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.766{col 34}    0.766
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.766{col 34}    0.766
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   318169{col 34}    96216
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5088{col 34}     5003

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00438{col 33}  .0111{col 43}0.3949{col 52}0.693{col 60}-.017377{col 73} .026146
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0202{col 33}  .0111{col 43}1.8190{col 52}0.069{col 60}-.001565{col 73} .041958
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0202{col 33} .01642{col 43}1.2298{col 52}0.219{col 60} -.01199{col 73} .052382
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-80Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   471184{col 34}   125076{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17066{col 34}    14774{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.780{col 34}    0.780
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.780{col 34}    0.780
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   319643{col 34}    94742
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5116{col 34}     4847

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02617{col 33} .01111{col 43}-2.3552{col 52}0.019{col 60}-.047941{col 73}-.004391
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00891{col 33} .01111{col 43}0.8018{col 52}0.423{col 60}-.012867{col 73} .030684
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00891{col 33} .01623{col 43}0.5489{col 52}0.583{col 60}-.022899{col 73} .040716
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-70Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   473355{col 34}   122905{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17345{col 34}    14910{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.799{col 34}    0.799
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.799{col 34}    0.799
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   321154{col 34}    93231
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5148{col 34}     4630

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04868{col 33} .01099{col 43}-4.4305{col 52}0.000{col 60}-.070208{col 73}-.027142
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02163{col 33} .01099{col 43}-1.9688{col 52}0.049{col 60}-.043163{col 73}-.000097
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02163{col 33} .01596{col 43}-1.3552{col 52}0.175{col 60}-.052913{col 73} .009653
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-60Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   475449{col 34}   120811{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18150{col 34}    15592{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.842{col 34}    0.842
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.842{col 34}    0.842
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   322586{col 34}    91799
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5200{col 34}     4306

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04245{col 33} .01067{col 43}-3.9794{col 52}0.000{col 60}-.063352{col 73} -.02154
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02517{col 33} .01067{col 43}-2.3600{col 52}0.018{col 60}-.046079{col 73}-.004267
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02517{col 33} .01608{col 43}-1.5656{col 52}0.117{col 60}-.056687{col 73} .006342
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-50Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   477537{col 34}   118723{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19792{col 34}    16985{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.923{col 34}    0.923
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.923{col 34}    0.923
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   324054{col 34}    90331
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5262{col 34}     4401

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01057{col 33} .01026{col 43}-1.0306{col 52}0.303{col 60} -.03067{col 73} .009531
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03501{col 33} .01026{col 43}-3.4134{col 52}0.001{col 60}-.055107{col 73}-.014906
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03501{col 33} .01524{col 43}-2.2974{col 52}0.022{col 60} -.06487{col 73}-.005142
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-40Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   479583{col 34}   116677{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    22060{col 34}    18792{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.032{col 34}    1.032
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.032{col 34}    1.032
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   325497{col 34}    88888
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5340{col 34}     4902

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03704{col 33} .00991{col 43}3.7388{col 52}0.000{col 60} .017624{col 73} .056462
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00506{col 33} .00991{col 43}-0.5110{col 52}0.609{col 60}-.024481{col 73} .014356
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00506{col 33} .01444{col 43}-0.3506{col 52}0.726{col 60}-.033365{col 73}  .02324
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-30Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   481621{col 34}   114639{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24612{col 34}    20741{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.154{col 34}    1.154
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.154{col 34}    1.154
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   326948{col 34}    87437
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5412{col 34}     5208

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .06816{col 33} .00938{col 43}7.2659{col 52}0.000{col 60} .049775{col 73} .086549
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02275{col 33} .00938{col 43}2.4254{col 52}0.015{col 60} .004366{col 73}  .04114
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02275{col 33} .01391{col 43}1.6352{col 52}0.102{col 60}-.004519{col 73} .050026
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-20Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   483631{col 34}   112629{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26239{col 34}    22092{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.238{col 34}    1.238
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.238{col 34}    1.238
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   328447{col 34}    85938
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5431{col 34}     5339

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .09475{col 33} .00897{col 43}10.5647{col 52}0.000{col 60} .077175{col 73} .112332
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05945{col 33} .00897{col 43}6.6287{col 52}0.000{col 60} .041874{col 73} .077031
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05945{col 33} .01361{col 43}4.3671{col 52}0.000{col 60}  .03277{col 73} .086134
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-10Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26638{col 34}    23491{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.297{col 34}    1.297
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.297{col 34}    1.297
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5435{col 34}     5432

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11035{col 33} .00882{col 43}12.5122{col 52}0.000{col 60} .093065{col 73} .127636
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .09583{col 33} .00882{col 43}10.8659{col 52}0.000{col 60} .078546{col 73} .113117
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .09583{col 33} .01352{col 43}7.0859{col 52}0.000{col 60} .069324{col 73} .122338
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake0Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   486336{col 34}   109924{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24209{col 34}    22643{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.225{col 34}    1.225
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.225{col 34}    1.225
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   330780{col 34}    83605
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5339{col 34}     5423

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .07626{col 33} .00894{col 43}8.5292{col 52}0.000{col 60} .058737{col 73} .093787
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02506{col 33} .00894{col 43}2.8030{col 52}0.005{col 60} .007538{col 73} .042587
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02506{col 33} .01306{col 43}1.9186{col 52}0.055{col 60} -.00054{col 73} .050666
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake10Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   488275{col 34}   107985{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    22877{col 34}    21577{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.175{col 34}    1.175
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.175{col 34}    1.175
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   332243{col 34}    82142
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5232{col 34}     5414

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04398{col 33} .00882{col 43}4.9862{col 52}0.000{col 60} .026695{col 73} .061273
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00345{col 33} .00882{col 43}0.3915{col 52}0.695{col 60}-.013836{col 73} .020742
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00345{col 33} .01265{col 43}0.2729{col 52}0.785{col 60}-.021345{col 73} .028251
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake20Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   490255{col 34}   106005{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19997{col 34}    19096{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.046{col 34}    1.046
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.046{col 34}    1.046
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   333651{col 34}    80734
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     4919{col 34}     5346

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00424{col 33} .00907{col 43}-0.4674{col 52}0.640{col 60}-.022009{col 73} .013534
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05424{col 33} .00907{col 43}-5.9818{col 52}0.000{col 60} -.07201{col 73}-.036467
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05424{col 33} .01308{col 43}-4.1459{col 52}0.000{col 60} -.07988{col 73}-.028598
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake30Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   492206{col 34}   104054{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18912{col 34}    18119{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.003{col 34}    1.003
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.003{col 34}    1.003
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   335040{col 34}    79345
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     4644{col 34}     5304

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03737{col 33} .00928{col 43}-4.0258{col 52}0.000{col 60}-.055556{col 73}-.019174
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04828{col 33} .00928{col 43}-5.2021{col 52}0.000{col 60}-.066474{col 73}-.030091
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04828{col 33}  .0135{col 43}-3.5773{col 52}0.000{col 60}-.074736{col 73}-.021829
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake40Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   494096{col 34}   102164{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18660{col 34}    17883{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.001{col 34}    1.001
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.001{col 34}    1.001
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   336371{col 34}    78014
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     4318{col 34}     5288

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03818{col 33} .00927{col 43}-4.1161{col 52}0.000{col 60}-.056353{col 73}-.019998
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00074{col 33} .00927{col 43}-0.0794{col 52}0.937{col 60}-.018914{col 73} .017441
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00074{col 33} .01372{col 43}-0.0537{col 52}0.957{col 60}-.027636{col 73} .026163
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake50Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   495991{col 34}   100269{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17836{col 34}    17157{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.970{col 34}    0.970
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.970{col 34}    0.970
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   337696{col 34}    76689
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     4638{col 34}     5266

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04171{col 33} .00936{col 43}-4.4544{col 52}0.000{col 60}-.060057{col 73}-.023355
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01624{col 33} .00936{col 43}1.7345{col 52}0.083{col 60}-.002111{col 73} .034591
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01624{col 33} .01387{col 43}1.1710{col 52}0.242{col 60}-.010943{col 73} .043422
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake60Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   497829{col 34}    98431{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16941{col 34}    16385{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.936{col 34}    0.936
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.936{col 34}    0.936
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   339000{col 34}    75385
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     4848{col 34}     5230

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0484{col 33} .00966{col 43}-5.0087{col 52}0.000{col 60}-.067339{col 73} -.02946
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0067{col 33} .00966{col 43}0.6938{col 52}0.488{col 60}-.012235{col 73} .025643
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0067{col 33} .01439{col 43}0.4660{col 52}0.641{col 60}-.021494{col 73} .034902
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake70Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   499578{col 34}    96682{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16975{col 34}    16493{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.952{col 34}    0.952
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.952{col 34}    0.952
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   340269{col 34}    74116
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5009{col 34}     5231

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01945{col 33} .00974{col 43}-1.9967{col 52}0.046{col 60}-.038547{col 73}-.000358
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04661{col 33} .00974{col 43}4.7839{col 52}0.000{col 60} .027512{col 73}   .0657
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04661{col 33} .01436{col 43}3.2461{col 52}0.001{col 60} .018466{col 73} .074746
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake80Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   501425{col 34}    94835{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17050{col 34}    16439{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.960{col 34}    0.960
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.960{col 34}    0.960
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   341545{col 34}    72840
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5144{col 34}     5228

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00866{col 33} .00964{col 43}-0.8987{col 52}0.369{col 60}-.027546{col 73} .010227
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00965{col 33} .00964{col 43}1.0016{col 52}0.317{col 60}-.009235{col 73} .028538
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00965{col 33} .01395{col 43}0.6919{col 52}0.489{col 60}-.017687{col 73}  .03699
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake90Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   503229{col 34}    93031{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18337{col 34}    17204{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.022{col 34}    1.022
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.022{col 34}    1.022
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   342819{col 34}    71566
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5248{col 34}     5248

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00313{col 33} .00943{col 43}-0.3320{col 52}0.740{col 60}-.021615{col 73} .015354
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01041{col 33} .00943{col 43}-1.1033{col 52}0.270{col 60} -.02889{col 73}  .00808
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01041{col 33} .01379{col 43}-0.7546{col 52}0.450{col 60}-.037429{col 73} .016619
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake100Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   505005{col 34}    91255{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17964{col 34}    16083{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.963{col 34}    0.963
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.963{col 34}    0.963
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   344062{col 34}    70323
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5251{col 34}     5176

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01335{col 33} .00959{col 43}-1.3924{col 52}0.164{col 60}-.032151{col 73} .005443
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03744{col 33} .00959{col 43}-3.9042{col 52}0.000{col 60}-.056241{col 73}-.018647
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03744{col 33} .01417{col 43}-2.6426{col 52}0.008{col 60}-.065216{col 73}-.009672
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake110Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   506825{col 34}    89435{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19737{col 34}    17247{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.061{col 34}    1.061
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.061{col 34}    1.061
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   345321{col 34}    69064
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5348{col 34}     5229

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01541{col 33} .00918{col 43}1.6788{col 52}0.093{col 60}-.002582{col 73} .033408
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01245{col 33} .00918{col 43}1.3560{col 52}0.175{col 60}-.005545{col 73} .030444
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01245{col 33} .01382{col 43}0.9009{col 52}0.368{col 60}-.014636{col 73} .039535
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake120Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   508527{col 34}    87733{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20617{col 34}    17810{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.118{col 34}    1.118
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.118{col 34}    1.118
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   346533{col 34}    67852
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5382{col 34}     5277

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02036{col 33} .00902{col 43}2.2572{col 52}0.024{col 60}  .00268{col 73} .038031
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02359{col 33} .00902{col 43}2.6158{col 52}0.009{col 60} .005915{col 73} .041265
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02359{col 33} .01329{col 43}1.7746{col 52}0.076{col 60}-.002464{col 73} .049644
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake130Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   510275{col 34}    85985{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20996{col 34}    17884{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.149{col 34}    1.149
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.149{col 34}    1.149
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   347755{col 34}    66630
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5402{col 34}     5284

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01141{col 33} .00897{col 43}1.2731{col 52}0.203{col 60}-.006158{col 73} .028988
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01205{col 33} .00897{col 43}1.3439{col 52}0.179{col 60}-.005524{col 73} .029623
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01205{col 33} .01317{col 43}0.9149{col 52}0.360{col 60}-.013763{col 73} .037862
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake140Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   511964{col 34}    84296{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21212{col 34}    17939{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.172{col 34}    1.172
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.172{col 34}    1.172
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   348926{col 34}    65459
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5406{col 34}     5288

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0044{col 33} .00894{col 43}0.4929{col 52}0.622{col 60}-.013111{col 73}  .02192
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0054{col 33} .00894{col 43}0.6044{col 52}0.546{col 60}-.012115{col 73} .022916
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0054{col 33} .01316{col 43}0.4105{col 52}0.681{col 60}-.020389{col 73} .031191
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake150Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   513656{col 34}    82604{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21585{col 34}    18168{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.206{col 34}    1.206
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.206{col 34}    1.206
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   350122{col 34}    64263
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5424{col 34}     5312

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00538{col 33} .00885{col 43}0.6081{col 52}0.543{col 60} -.01196{col 73} .022722
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01649{col 33} .00885{col 43}1.8636{col 52}0.062{col 60}-.000852{col 73}  .03383
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01649{col 33} .01285{col 43}1.2832{col 52}0.199{col 60}-.008696{col 73} .041674
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake160Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   515238{col 34}    81022{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21191{col 34}    17879{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.203{col 34}    1.203
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.203{col 34}    1.203
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   351247{col 34}    63138
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5418{col 34}     5309

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00533{col 33} .00889{col 43}-0.5997{col 52}0.549{col 60}-.022758{col 73} .012094
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0154{col 33} .00889{col 43}-1.7320{col 52}0.083{col 60}-.032825{col 73} .002027
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0154{col 33} .01311{col 43}-1.1747{col 52}0.240{col 60}-.041092{col 73} .010294
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake170Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   516852{col 34}    79408{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    23332{col 34}    19243{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.331{col 34}    1.331
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.331{col 34}    1.331
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   352391{col 34}    61994
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5452{col 34}     5365

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00322{col 33} .00853{col 43}-0.3770{col 52}0.706{col 60}-.019936{col 73} .013504
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0008{col 33} .00853{col 43}0.0935{col 52}0.925{col 60}-.015922{col 73} .017518
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0008{col 33} .01255{col 43}0.0636{col 52}0.949{col 60}-.023792{col 73} .025388
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake180Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   518523{col 34}    77737{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24103{col 34}    19423{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.382{col 34}    1.382
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.382{col 34}    1.382
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   353556{col 34}    60829
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5464{col 34}     5370

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00837{col 33} .00848{col 43}-0.9860{col 52}0.324{col 60}-.024994{col 73} .008263
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01397{col 33} .00848{col 43}-1.6467{col 52}0.100{col 60}-.030599{col 73} .002658
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01397{col 33} .01244{col 43}-1.1229{col 52}0.261{col 60}-.038354{col 73} .010413
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake190Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   520067{col 34}    76193{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27097{col 34}    21153{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.559{col 34}    1.559
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.559{col 34}    1.559
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   354678{col 34}    59707
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5503{col 34}     5428

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00191{col 33} .00811{col 43}-0.2352{col 52}0.814{col 60}-.017804{col 73}  .01399
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01279{col 33} .00811{col 43}-1.5771{col 52}0.115{col 60}-.028688{col 73} .003106
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01279{col 33} .01188{col 43}-1.0766{col 52}0.282{col 60}-.036078{col 73} .010495
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake200Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   521636{col 34}    74624{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31254{col 34}    23236{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.792{col 34}    1.792
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.792{col 34}    1.792
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   355822{col 34}    58563
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5534{col 34}     5482

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0019{col 33} .00766{col 43}-0.2484{col 52}0.804{col 60}-.016914{col 73} .013109
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00689{col 33} .00766{col 43}-0.8989{col 52}0.369{col 60}-.021897{col 73} .008127
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00689{col 33} .01126{col 43}-0.6117{col 52}0.541{col 60}-.028945{col 73} .015175
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake210Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   523189{col 34}    73071{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    37051{col 34}    26074{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.111{col 34}    2.111
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.111{col 34}    2.111
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   356908{col 34}    57477
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5551{col 34}     5519

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00832{col 33} .00718{col 43}-1.1585{col 52}0.247{col 60}-.022404{col 73} .005758
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00255{col 33} .00718{col 43}-0.3553{col 52}0.722{col 60}-.016633{col 73} .011528
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00255{col 33} .01071{col 43}-0.2383{col 52}0.812{col 60} -.02355{col 73} .018445
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake220Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   524629{col 34}    71631{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    39540{col 34}    27257{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.277{col 34}    2.277
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.277{col 34}    2.277
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   357947{col 34}    56438
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5555{col 34}     5529

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00281{col 33}   .007{col 43}-0.4012{col 52}0.688{col 60}-.016522{col 73} .010907
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00447{col 33}   .007{col 43}0.6393{col 52}0.523{col 60}-.009241{col 73} .018188
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00447{col 33} .01033{col 43}0.4330{col 52}0.665{col 60}-.015775{col 73} .024721
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake230Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   526075{col 34}    70185{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    41930{col 34}    28472{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.472{col 34}    2.472
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.472{col 34}    2.472
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   358976{col 34}    55409
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5556{col 34}     5529

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00085{col 33} .00684{col 43}-0.1248{col 52}0.901{col 60}-.014264{col 73} .012556
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00979{col 33} .00684{col 43}1.4312{col 52}0.152{col 60}-.003618{col 73} .023202
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00979{col 33} .01003{col 43}0.9761{col 52}0.329{col 60} -.00987{col 73} .029453
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake240Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   527475{col 34}    68785{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    42568{col 34}    28331{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.520{col 34}    2.520
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.520{col 34}    2.520
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   359987{col 34}    54398
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5556{col 34}     5532

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-8.7e-05{col 33} .00679{col 43}-0.0128{col 52}0.990{col 60}-.013389{col 73} .013216
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00332{col 33} .00679{col 43}0.4887{col 52}0.625{col 60}-.009986{col 73} .016619
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00332{col 33} .00995{col 43}0.3334{col 52}0.739{col 60} -.01618{col 73} .022813
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake250Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   528901{col 34}    67359{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    42689{col 34}    27621{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.506{col 34}    2.506
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.506{col 34}    2.506
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   360999{col 34}    53386
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5527

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00218{col 33} .00685{col 43}-0.3188{col 52}0.750{col 60}-.015616{col 73} .011246
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00181{col 33} .00685{col 43}0.2640{col 52}0.792{col 60}-.011622{col 73}  .01524
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00181{col 33} .01005{col 43}0.1801{col 52}0.857{col 60} -.01788{col 73} .021499
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake260Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   530293{col 34}    65967{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    44361{col 34}    28000{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.622{col 34}    2.622
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.622{col 34}    2.622
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   361974{col 34}    52411
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5534

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00217{col 33} .00681{col 43}-0.3195{col 52}0.749{col 60}-.015513{col 73} .011164
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00241{col 33} .00681{col 43}-0.3543{col 52}0.723{col 60}-.015749{col 73} .010928
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00241{col 33} .00996{col 43}-0.2420{col 52}0.809{col 60}-.021935{col 73} .017113
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake270Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   531718{col 34}    64542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    45748{col 34}    28145{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.719{col 34}    2.719
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.719{col 34}    2.719
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   362987{col 34}    51398
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5535

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00122{col 33} .00678{col 43}-0.1798{col 52}0.857{col 60}-.014517{col 73} .012077
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00054{col 33} .00678{col 43}0.0790{col 52}0.937{col 60}-.012761{col 73} .013833
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00054{col 33} .00984{col 43}0.0544{col 52}0.957{col 60}-.018756{col 73} .019828
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake280Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   533073{col 34}    63187{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    47427{col 34}    28421{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.837{col 34}    2.837
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.837{col 34}    2.837
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   363951{col 34}    50434
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5536

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00025{col 33} .00666{col 43}-0.0382{col 52}0.969{col 60}-.013309{col 73} .012799
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00232{col 33} .00666{col 43}0.3481{col 52}0.728{col 60}-.010735{col 73} .015372
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00232{col 33} .00966{col 43}0.2399{col 52}0.810{col 60} -.01662{col 73} .021257
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake290Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   534417{col 34}    61843{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    42386{col 34}    26125{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.608{col 34}    2.608
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.608{col 34}    2.608
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   364917{col 34}    49468
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5555{col 34}     5514

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00445{col 33} .00702{col 43}-0.6342{col 52}0.526{col 60}-.018204{col 73} .009303
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00409{col 33} .00702{col 43}-0.5835{col 52}0.560{col 60}-.017848{col 73} .009659
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00409{col 33} .01022{col 43}-0.4005{col 52}0.689{col 60} -.02413{col 73} .015941
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake300Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    95473{col 34}    52098{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14481{col 34}    13702{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.158{col 34}    2.158
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.158{col 34}    2.158
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    69612{col 34}    42042
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1095{col 34}     1096

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00356{col 33} .01256{col 43}0.2833{col 52}0.777{col 60}-.021061{col 73} .028177
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01214{col 33} .01256{col 43}-0.9663{col 52}0.334{col 60}-.036757{col 73} .012481
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01214{col 33} .01791{col 43}-0.6779{col 52}0.498{col 60}-.047232{col 73} .022956
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-300Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    96131{col 34}    51440{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12842{col 34}    12172{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.914{col 34}    1.914
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.914{col 34}    1.914
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70108{col 34}    41546
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1095{col 34}     1095

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00404{col 33} .01337{col 43}-0.3024{col 52}0.762{col 60} -.03025{col 73} .022164
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0058{col 33} .01337{col 43}-0.4339{col 52}0.664{col 60}-.032008{col 73} .020406
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0058{col 33} .01901{col 43}-0.3052{col 52}0.760{col 60} -.04306{col 73} .031457
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-290Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    96776{col 34}    50795{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10688{col 34}    10212{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.592{col 34}    1.592
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.592{col 34}    1.592
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70588{col 34}    41066
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1087{col 34}     1087

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01383{col 33} .01428{col 43}-0.9691{col 52}0.332{col 60}-.041813{col 73} .014145
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00362{col 33} .01428{col 43}-0.2539{col 52}0.800{col 60}-.031603{col 73} .024354
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00362{col 33} .02044{col 43}-0.1774{col 52}0.859{col 60}-.043684{col 73} .036434
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-280Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    97440{col 34}    50131{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9597{col 34}     9216{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.432{col 34}    1.432
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.432{col 34}    1.432
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71061{col 34}    40593
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1085{col 34}     1087

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02637{col 33} .01467{col 43}-1.7970{col 52}0.072{col 60}-.055124{col 73} .002391
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0235{col 33} .01467{col 43}-1.6018{col 52}0.109{col 60}-.052259{col 73} .005256
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0235{col 33} .02119{col 43}-1.1092{col 52}0.267{col 60}-.065029{col 73} .018026
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-270Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    98102{col 34}    49469{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8928{col 34}     8539{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.330{col 34}    1.330
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.330{col 34}    1.330
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71543{col 34}    40111
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1080{col 34}     1084

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02373{col 33} .01517{col 43}-1.5638{col 52}0.118{col 60}-.053467{col 73}  .00601
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0222{col 33} .01517{col 43}-1.4630{col 52}0.143{col 60}-.051936{col 73} .007541
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0222{col 33} .02217{col 43}-1.0014{col 52}0.317{col 60}-.065643{col 73} .021247
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-260Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    98772{col 34}    48799{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7977{col 34}     7631{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.190{col 34}    1.190
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.190{col 34}    1.190
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72057{col 34}    39597
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1073{col 34}     1077

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03493{col 33} .01565{col 43}-2.2313{col 52}0.026{col 60}-.065608{col 73}-.004248
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04078{col 33} .01565{col 43}-2.6051{col 52}0.009{col 60} -.07146{col 73}-.010099
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04078{col 33} .02272{col 43}-1.7948{col 52}0.073{col 60}-.085312{col 73} .003753
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-250Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    99427{col 34}    48144{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7770{col 34}     7375{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.159{col 34}    1.159
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.159{col 34}    1.159
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72545{col 34}    39109
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1074{col 34}     1073

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02193{col 33} .01637{col 43}-1.3400{col 52}0.180{col 60}-.054005{col 73} .010146
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00035{col 33} .01637{col 43}-0.0217{col 52}0.983{col 60} -.03243{col 73} .031721
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00035{col 33} .02349{col 43}-0.0151{col 52}0.988{col 60} -.04639{col 73} .045681
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-240Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   100081{col 34}    47490{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7369{col 34}     7009{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.108{col 34}    1.108
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.108{col 34}    1.108
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73046{col 34}    38608
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1072{col 34}     1070

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01176{col 33}  .0171{col 43}-0.6877{col 52}0.492{col 60}-.045273{col 73} .021753
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00805{col 33}  .0171{col 43}0.4709{col 52}0.638{col 60}-.025461{col 73} .041565
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00805{col 33} .02439{col 43}0.3302{col 52}0.741{col 60}-.039748{col 73} .055853
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-230Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   100716{col 34}    46855{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7308{col 34}     6930{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.104{col 34}    1.104
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.104{col 34}    1.104
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73522{col 34}    38132
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1074{col 34}     1064

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00072{col 33} .01701{col 43}0.0423{col 52}0.966{col 60}-.032618{col 73} .034057
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01989{col 33} .01701{col 43}1.1695{col 52}0.242{col 60}-.013445{col 73}  .05323
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01989{col 33} .02468{col 43}0.8060{col 52}0.420{col 60}-.028478{col 73} .068264
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-220Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   101388{col 34}    46183{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7195{col 34}     6747{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.086{col 34}    1.086
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.086{col 34}    1.086
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    74028{col 34}    37626
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1068{col 34}     1061

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01532{col 33} .01732{col 43}0.8847{col 52}0.376{col 60} -.01862{col 73} .049261
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02588{col 33} .01732{col 43}1.4944{col 52}0.135{col 60}-.008063{col 73} .059818
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02588{col 33} .02541{col 43}1.0184{col 52}0.309{col 60}-.023927{col 73} .075682
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-210Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   102052{col 34}    45519{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6992{col 34}     6528{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.061{col 34}    1.061
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.061{col 34}    1.061
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    74519{col 34}    37135
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1067{col 34}     1058

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02296{col 33} .01731{col 43}1.3260{col 52}0.185{col 60}-.010977{col 73} .056894
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00064{col 33} .01731{col 43}-0.0371{col 52}0.970{col 60}-.034577{col 73} .033293
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00064{col 33} .02551{col 43}-0.0252{col 52}0.980{col 60}-.050638{col 73} .049354
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-200Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   102726{col 34}    44845{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6805{col 34}     6274{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.031{col 34}    1.031
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.031{col 34}    1.031
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    75032{col 34}    36622
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1072{col 34}     1058

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02007{col 33} .01847{col 43}1.0870{col 52}0.277{col 60}-.016123{col 73}  .05627
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0184{col 33} .01847{col 43}-0.9961{col 52}0.319{col 60}-.054593{col 73}   .0178
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0184{col 33} .02732{col 43}-0.6735{col 52}0.501{col 60}-.071934{col 73} .035142
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-190Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   103360{col 34}    44211{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6576{col 34}     6057{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.999{col 34}    0.999
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.999{col 34}    0.999
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    75510{col 34}    36144
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1059{col 34}     1051

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}   .026{col 33} .01866{col 43}1.3935{col 52}0.163{col 60}-.010567{col 73} .062561
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01378{col 33} .01866{col 43}-0.7389{col 52}0.460{col 60}-.050348{col 73}  .02278
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01378{col 33} .02716{col 43}-0.5076{col 52}0.612{col 60}-.067008{col 73} .039439
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-180Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   103990{col 34}    43581{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6596{col 34}     6060{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.008{col 34}    1.008
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.008{col 34}    1.008
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    75995{col 34}    35659
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1065{col 34}     1055

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01879{col 33}   .019{col 43}0.9888{col 52}0.323{col 60}-.018452{col 73} .056023
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01642{col 33}   .019{col 43}-0.8641{col 52}0.388{col 60}-.053655{col 73} .020819
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01642{col 33} .02721{col 43}-0.6033{col 52}0.546{col 60}-.069752{col 73} .036916
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-170Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   104589{col 34}    42982{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6757{col 34}     6230{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.039{col 34}    1.039
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.039{col 34}    1.039
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    76452{col 34}    35202
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1071{col 34}     1061

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00178{col 33} .01855{col 43}0.0961{col 52}0.923{col 60}-.034574{col 73} .038139
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03078{col 33} .01855{col 43}-1.6593{col 52}0.097{col 60}-.067135{col 73} .005578
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03078{col 33}  .0265{col 43}-1.1615{col 52}0.245{col 60}-.082719{col 73} .021161
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-160Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   105236{col 34}    42335{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6421{col 34}     5887{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.996{col 34}    0.996
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.996{col 34}    0.996
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    76945{col 34}    34709
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1069{col 34}     1057

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01002{col 33} .01889{col 43}-0.5305{col 52}0.596{col 60}-.047043{col 73} .027001
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0038{col 33} .01889{col 43}0.2010{col 52}0.841{col 60}-.033225{col 73}  .04082
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0038{col 33}  .0276{col 43}0.1376{col 52}0.891{col 60}  -.0503{col 73} .057895
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-150Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   105825{col 34}    41746{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6439{col 34}     5985{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.006{col 34}    1.006
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.006{col 34}    1.006
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    77383{col 34}    34271
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1064{col 34}     1057

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00981{col 33} .01856{col 43}0.5284{col 52}0.597{col 60}-.026574{col 73}  .04619
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03706{col 33} .01856{col 43}1.9966{col 52}0.046{col 60}  .00068{col 73} .073444
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03706{col 33}  .0269{col 43}1.3780{col 52}0.168{col 60}-.015652{col 73} .089776
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-140Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   106461{col 34}    41110{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6379{col 34}     5869{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    77862{col 34}    33792
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1060{col 34}     1056

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00712{col 33} .01869{col 43}0.3809{col 52}0.703{col 60}-.029518{col 73} .043758
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03899{col 33} .01869{col 43}2.0859{col 52}0.037{col 60} .002355{col 73}  .07563
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03899{col 33} .02668{col 43}1.4613{col 52}0.144{col 60}-.013306{col 73} .091291
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-130Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   107035{col 34}    40536{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6344{col 34}     5898{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.005{col 34}    1.005
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.005{col 34}    1.005
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    78303{col 34}    33351
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1058{col 34}     1056

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0167{col 33} .01883{col 43}-0.8871{col 52}0.375{col 60} -.05361{col 73} .020202
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00811{col 33} .01883{col 43}-0.4309{col 52}0.667{col 60}-.045019{col 73} .028793
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00811{col 33} .02758{col 43}-0.2942{col 52}0.769{col 60} -.06217{col 73} .045944
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-120Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   107622{col 34}    39949{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6290{col 34}     5891{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.009{col 34}    1.009
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.009{col 34}    1.009
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    78742{col 34}    32912
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1056{col 34}     1053

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04283{col 33} .01882{col 43}-2.2755{col 52}0.023{col 60}-.079725{col 73}-.005939
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0536{col 33} .01882{col 43}-2.8477{col 52}0.004{col 60}-.090495{col 73}-.016709
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0536{col 33} .02746{col 43}-1.9519{col 52}0.051{col 60}-.107425{col 73} .000221
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-110Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108210{col 34}    39361{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6380{col 34}     5575{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.034{col 34}    1.034
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.034{col 34}    1.034
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    79192{col 34}    32462
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1055{col 34}     1043

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05339{col 33}  .0184{col 43}-2.9008{col 52}0.004{col 60}-.089461{col 73}-.017316
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05693{col 33}  .0184{col 43}-3.0934{col 52}0.002{col 60}-.093006{col 73}-.020861
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05693{col 33}  .0275{col 43}-2.0707{col 52}0.038{col 60}-.110823{col 73}-.003044
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-100Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108812{col 34}    38759{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6852{col 34}     5815{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.113{col 34}    1.113
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.113{col 34}    1.113
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    79640{col 34}    32014
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1063{col 34}     1024

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06546{col 33} .01763{col 43}-3.7132{col 52}0.000{col 60}-.100019{col 73} -.03091
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04866{col 33} .01763{col 43}2.7599{col 52}0.006{col 60} .014102{col 73} .083211
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04866{col 33} .02543{col 43}1.9136{col 52}0.056{col 60}-.001178{col 73} .098492
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-90Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   109420{col 34}    38151{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7450{col 34}     6287{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.212{col 34}    1.212
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.212{col 34}    1.212
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    80118{col 34}    31536
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1068{col 34}     1006

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0553{col 33} .01706{col 43}-3.2413{col 52}0.001{col 60}-.088733{col 73}-.021859
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02642{col 33} .01706{col 43}1.5488{col 52}0.121{col 60}-.007014{col 73}  .05986
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02642{col 33} .02504{col 43}1.0553{col 52}0.291{col 60}-.022652{col 73} .075497
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-80Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   110015{col 34}    37556{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8396{col 34}     7002{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.363{col 34}    1.363
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.363{col 34}    1.363
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    80580{col 34}    31074
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1077{col 34}      973

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02762{col 33} .01614{col 43}-1.7111{col 52}0.087{col 60} -.05926{col 73} .004018
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03894{col 33} .01614{col 43}-2.4122{col 52}0.016{col 60}-.070578{col 73}  -.0073
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03894{col 33} .02396{col 43}-1.6249{col 52}0.104{col 60}-.085909{col 73}  .00803
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-70Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   110590{col 34}    36981{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9891{col 34}     8149{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.604{col 34}    1.604
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.604{col 34}    1.604
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    81033{col 34}    30621
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1086{col 34}     1044

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00372{col 33} .01484{col 43}0.2504{col 52}0.802{col 60}-.025369{col 73} .032802
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04433{col 33} .01484{col 43}-2.9872{col 52}0.003{col 60}-.073413{col 73}-.015243
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04433{col 33} .02226{col 43}-1.9916{col 52}0.046{col 60}-.087952{col 73}-.000705
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-60Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   111144{col 34}    36427{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10836{col 34}     8837{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.765{col 34}    1.765
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.765{col 34}    1.765
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    81455{col 34}    30199
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1090{col 34}     1070

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02373{col 33} .01451{col 43}1.6352{col 52}0.102{col 60}-.004712{col 73} .052162
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0628{col 33} .01451{col 43}-4.3287{col 52}0.000{col 60}-.091241{col 73}-.034367
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0628{col 33} .02085{col 43}-3.0120{col 52}0.003{col 60}-.103672{col 73}-.021937
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-50Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   111767{col 34}    35804{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12978{col 34}    10259{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.100{col 34}    2.100
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.100{col 34}    2.100
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    81931{col 34}    29723
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1094{col 34}     1082

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .07721{col 33} .01366{col 43}5.6518{col 52}0.000{col 60} .050437{col 73}  .10399
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01408{col 33} .01366{col 43}-1.0305{col 52}0.303{col 60}-.040856{col 73} .012697
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01408{col 33} .01954{col 43}-0.7204{col 52}0.471{col 60}-.052383{col 73} .024225
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-40Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   112330{col 34}    35241{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13853{col 34}    10816{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.247{col 34}    2.247
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.247{col 34}    2.247
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    82378{col 34}    29276
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1095{col 34}     1088

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11956{col 33} .01364{col 43}8.7641{col 52}0.000{col 60}  .09282{col 73} .146295
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04921{col 33} .01364{col 43}3.6077{col 52}0.000{col 60} .022478{col 73} .075952
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04921{col 33} .01911{col 43}2.5754{col 52}0.010{col 60} .011761{col 73} .086668
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-30Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   112903{col 34}    34668{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15525{col 34}    11800{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.510{col 34}    2.510
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.510{col 34}    2.510
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    82840{col 34}    28814
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1095

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .16276{col 33} .01325{col 43}12.2883{col 52}0.000{col 60}   .1368{col 73} .188719
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .10719{col 33} .01325{col 43}8.0929{col 52}0.000{col 60} .081232{col 73} .133151
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .10719{col 33} .01889{col 43}5.6731{col 52}0.000{col 60} .070158{col 73} .144224
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-20Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113472{col 34}    34099{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17769{col 34}    13060{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.864{col 34}    2.864
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.864{col 34}    2.864
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83315{col 34}    28339
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1096

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19046{col 33} .01262{col 43}15.0904{col 52}0.000{col 60} .165726{col 73} .215201
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .16889{col 33} .01262{col 43}13.3812{col 52}0.000{col 60} .144153{col 73} .193629
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .16889{col 33} .01802{col 43}9.3739{col 52}0.000{col 60} .133578{col 73} .204204
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-10Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18147{col 34}    13568{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.980{col 34}    2.980
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.980{col 34}    2.980
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1097

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19306{col 33} .01247{col 43}15.4862{col 52}0.000{col 60} .168626{col 73} .217495
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .18939{col 33} .01247{col 43}15.1919{col 52}0.000{col 60} .164957{col 73} .213826
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .18939{col 33} .01809{col 43}10.4674{col 52}0.000{col 60} .153929{col 73} .224854
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake0Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114029{col 34}    33542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16180{col 34}    12749{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.736{col 34}    2.736
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.736{col 34}    2.736
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83842{col 34}    27812
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1096

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .17713{col 33} .01296{col 43}13.6636{col 52}0.000{col 60} .151723{col 73} .202541
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .16675{col 33} .01296{col 43}12.8625{col 52}0.000{col 60} .141338{col 73} .192155
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .16675{col 33} .01897{col 43}8.7900{col 52}0.000{col 60} .129566{col 73} .203927
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake10Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114566{col 34}    33005{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13530{col 34}    11143{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.350{col 34}    2.350
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.350{col 34}    2.350
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    84292{col 34}    27362
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1093{col 34}     1095

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .12344{col 33} .01394{col 43}8.8578{col 52}0.000{col 60} .096126{col 73} .150753
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05233{col 33} .01394{col 43}3.7547{col 52}0.000{col 60} .025012{col 73} .079639
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05233{col 33} .01996{col 43}2.6220{col 52}0.009{col 60} .013211{col 73} .091439
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake20Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   115121{col 34}    32450{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12567{col 34}    10483{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.226{col 34}    2.226
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.226{col 34}    2.226
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    84749{col 34}    26905
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1088{col 34}     1094

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .08736{col 33} .01412{col 43}6.1860{col 52}0.000{col 60}  .05968{col 73} .115037
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0041{col 33} .01412{col 43}-0.2902{col 52}0.772{col 60}-.031776{col 73} .023581
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0041{col 33} .02025{col 43}-0.2023{col 52}0.840{col 60}-.043792{col 73} .035597
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake30Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   115649{col 34}    31922{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11187{col 34}     9526{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.022{col 34}    2.022
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.022{col 34}    2.022
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    85182{col 34}    26472
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1081{col 34}     1091

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04775{col 33} .01454{col 43}3.2834{col 52}0.001{col 60} .019246{col 73} .076251
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0582{col 33} .01454{col 43}-4.0020{col 52}0.000{col 60}-.086701{col 73}-.029696
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0582{col 33} .02164{col 43}-2.6895{col 52}0.007{col 60} -.10061{col 73}-.015786
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake40Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   116196{col 34}    31375{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9736{col 34}     8474{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.800{col 34}    1.800
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.800{col 34}    1.800
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    85608{col 34}    26046
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1070{col 34}     1088

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00329{col 33} .01544{col 43}-0.2131{col 52}0.831{col 60}-.033549{col 73}  .02697
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.11232{col 33} .01544{col 43}-7.2752{col 52}0.000{col 60}-.142581{col 73}-.082061
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.11232{col 33} .02228{col 43}-5.0408{col 52}0.000{col 60}-.155994{col 73}-.068648
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake50Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   116684{col 34}    30887{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9241{col 34}     8109{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.730{col 34}    1.730
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.730{col 34}    1.730
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    85998{col 34}    25656
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1057{col 34}     1087

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03415{col 33} .01593{col 43}-2.1439{col 52}0.032{col 60}-.065369{col 73} -.00293
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.09902{col 33} .01593{col 43}-6.2163{col 52}0.000{col 60}-.130236{col 73}-.067797
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.09902{col 33}  .0227{col 43}-4.3615{col 52}0.000{col 60}-.143512{col 73} -.05452
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake60Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   117194{col 34}    30377{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9260{col 34}     8074{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.749{col 34}    1.749
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.749{col 34}    1.749
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    86403{col 34}    25251
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1047{col 34}     1087

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03287{col 33} .01597{col 43}-2.0585{col 52}0.040{col 60}-.064161{col 73}-.001573
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04241{col 33} .01597{col 43}-2.6561{col 52}0.008{col 60}-.073704{col 73}-.011115
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04241{col 33} .02262{col 43}-1.8749{col 52}0.061{col 60}-.086742{col 73} .001923
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake70Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   117688{col 34}    29883{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8766{col 34}     7720{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.683{col 34}    1.683
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.683{col 34}    1.683
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    86808{col 34}    24846
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1022{col 34}     1086

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04607{col 33} .01622{col 43}-2.8401{col 52}0.005{col 60}-.077864{col 73}-.014277
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01839{col 33} .01622{col 43}-1.1339{col 52}0.257{col 60}-.050187{col 73} .013401
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01839{col 33} .02286{col 43}-0.8046{col 52}0.421{col 60}-.063195{col 73} .026409
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake80Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   118235{col 34}    29336{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8260{col 34}     7285{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.607{col 34}    1.607
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.607{col 34}    1.607
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    87247{col 34}    24407
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1025{col 34}     1085

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07238{col 33} .01673{col 43}-4.3268{col 52}0.000{col 60} -.10517{col 73}-.039594
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02858{col 33} .01673{col 43}-1.7082{col 52}0.088{col 60}-.061364{col 73} .004212
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02858{col 33} .02344{col 43}-1.2192{col 52}0.223{col 60}-.074514{col 73} .017362
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake90Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   118721{col 34}    28850{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7871{col 34}     7004{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.554{col 34}    1.554
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.554{col 34}    1.554
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    87620{col 34}    24034
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1044{col 34}     1081

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07535{col 33} .01703{col 43}-4.4257{col 52}0.000{col 60}-.108719{col 73} -.04198
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0002{col 33} .01703{col 43}-0.0119{col 52}0.991{col 60}-.033572{col 73} .033167
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0002{col 33} .02356{col 43}-0.0086{col 52}0.993{col 60} -.04638{col 73} .045975
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake100Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   119214{col 34}    28357{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7659{col 34}     6843{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.539{col 34}    1.539
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.539{col 34}    1.539
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    88013{col 34}    23641
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1057{col 34}     1082

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05575{col 33}  .0169{col 43}-3.2982{col 52}0.001{col 60}-.088882{col 73}-.022621
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .06522{col 33}  .0169{col 43}3.8580{col 52}0.000{col 60} .032085{col 73} .098346
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .06522{col 33} .02394{col 43}2.7243{col 52}0.006{col 60} .018298{col 73} .112133
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake110Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   119700{col 34}    27871{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7430{col 34}     6626{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.509{col 34}    1.509
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.509{col 34}    1.509
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    88400{col 34}    23254
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1065{col 34}     1083

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05381{col 33} .01719{col 43}-3.1306{col 52}0.002{col 60}  -.0875{col 73}-.020121
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0657{col 33} .01719{col 43}3.8222{col 52}0.000{col 60} .032009{col 73} .099388
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0657{col 33} .02453{col 43}2.6784{col 52}0.007{col 60} .017623{col 73} .113774
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake120Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   120154{col 34}    27417{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7161{col 34}     6436{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.484{col 34}    1.484
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.484{col 34}    1.484
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    88764{col 34}    22890
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1071{col 34}     1083

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04579{col 33} .01741{col 43}-2.6292{col 52}0.009{col 60}-.079919{col 73}-.011655
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03373{col 33} .01741{col 43}1.9369{col 52}0.053{col 60}-.000402{col 73} .067862
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03373{col 33} .02533{col 43}1.3317{col 52}0.183{col 60}-.015912{col 73} .083371
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake130Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   120625{col 34}    26946{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6923{col 34}     6172{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.442{col 34}    1.442
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.442{col 34}    1.442
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    89153{col 34}    22501
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1073{col 34}     1084

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02076{col 33} .01764{col 43}-1.1766{col 52}0.239{col 60}-.055336{col 73} .013821
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03332{col 33} .01764{col 43}-1.8887{col 52}0.059{col 60}-.067899{col 73} .001257
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03332{col 33} .02598{col 43}-1.2825{col 52}0.200{col 60}-.084242{col 73} .017601
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake140Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   121053{col 34}    26518{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7291{col 34}     6268{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.480{col 34}    1.480
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.480{col 34}    1.480
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    89507{col 34}    22147
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1076{col 34}     1089

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00134{col 33} .01751{col 43}-0.0764{col 52}0.939{col 60}-.035662{col 73} .032986
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00462{col 33} .01751{col 43}0.2637{col 52}0.792{col 60}-.029706{col 73} .038942
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00462{col 33}  .0254{col 43}0.1818{col 52}0.856{col 60}-.045167{col 73} .054403
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake150Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   121543{col 34}    26028{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7790{col 34}     6600{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.596{col 34}    1.596
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.596{col 34}    1.596
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    89896{col 34}    21758
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1082{col 34}     1090

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00615{col 33} .01694{col 43}-0.3632{col 52}0.716{col 60}-.039357{col 73} .027052
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00946{col 33} .01694{col 43}-0.5581{col 52}0.577{col 60} -.04266{col 73} .023749
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00946{col 33} .02431{col 43}-0.3889{col 52}0.697{col 60}-.057104{col 73} .038194
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake160Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122029{col 34}    25542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8053{col 34}     6515{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.611{col 34}    1.611
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.611{col 34}    1.611
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    90286{col 34}    21368
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1081{col 34}     1091

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0086{col 33} .01709{col 43}0.5035{col 52}0.615{col 60}-.024893{col 73} .042102
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00627{col 33} .01709{col 43}0.3669{col 52}0.714{col 60}-.027227{col 73} .039769
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00627{col 33} .02408{col 43}0.2604{col 52}0.795{col 60}-.040927{col 73} .053469
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake170Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122463{col 34}    25108{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7292{col 34}     6026{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.493{col 34}    1.493
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.493{col 34}    1.493
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    90634{col 34}    21020
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1079{col 34}     1088

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01721{col 33} .01767{col 43}-0.9742{col 52}0.330{col 60}-.051839{col 73} .017415
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02696{col 33} .01767{col 43}-1.5262{col 52}0.127{col 60} -.06159{col 73} .007664
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02696{col 33} .02506{col 43}-1.0761{col 52}0.282{col 60}-.076074{col 73} .022148
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake180Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122907{col 34}    24664{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7383{col 34}     6049{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.526{col 34}    1.526
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.526{col 34}    1.526
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    90994{col 34}    20660
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1081{col 34}     1088

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01587{col 33} .01773{col 43}-0.8948{col 52}0.371{col 60}-.050614{col 73} .018884
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03068{col 33} .01773{col 43}-1.7303{col 52}0.084{col 60}-.065426{col 73} .004072
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03068{col 33} .02444{col 43}-1.2551{col 52}0.209{col 60}-.078584{col 73}  .01723
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake190Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   123367{col 34}    24204{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7557{col 34}     6051{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.567{col 34}    1.567
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.567{col 34}    1.567
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    91367{col 34}    20287
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1081{col 34}     1090

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01152{col 33}  .0178{col 43}-0.6472{col 52}0.518{col 60}-.046417{col 73} .023373
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02253{col 33}  .0178{col 43}-1.2654{col 52}0.206{col 60}-.057424{col 73} .012366
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02253{col 33} .02548{col 43}-0.8843{col 52}0.377{col 60}-.072462{col 73} .027404
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake200Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   123805{col 34}    23766{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7503{col 34}     5989{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.576{col 34}    1.576
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.576{col 34}    1.576
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    91716{col 34}    19938
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1081{col 34}     1089

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0116{col 33} .01747{col 43}-0.6644{col 52}0.506{col 60}-.045837{col 73} .022629
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01054{col 33} .01747{col 43}-0.6033{col 52}0.546{col 60} -.04477{col 73} .023695
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01054{col 33} .02531{col 43}-0.4164{col 52}0.677{col 60}-.060136{col 73} .039061
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake210Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   124258{col 34}    23313{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7993{col 34}     6207{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.685{col 34}    1.685
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.685{col 34}    1.685
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    92074{col 34}    19580
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1085{col 34}     1087

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00295{col 33} .01704{col 43}0.1732{col 52}0.862{col 60}-.030442{col 73} .036344
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01426{col 33} .01704{col 43}0.8368{col 52}0.403{col 60}-.019136{col 73} .047649
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01426{col 33} .02449{col 43}0.5822{col 52}0.560{col 60}-.033737{col 73}  .06225
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake220Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   124667{col 34}    22904{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7870{col 34}     6103{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.676{col 34}    1.676
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.676{col 34}    1.676
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    92395{col 34}    19259
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1086{col 34}     1086

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0102{col 33} .01727{col 43}0.5904{col 52}0.555{col 60}-.023651{col 73} .044043
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01208{col 33} .01727{col 43}0.6995{col 52}0.484{col 60}-.021767{col 73} .045927
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01208{col 33} .02509{col 43}0.4815{col 52}0.630{col 60}-.037091{col 73} .061251
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake230Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125083{col 34}    22488{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8134{col 34}     6195{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.749{col 34}    1.749
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.749{col 34}    1.749
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    92722{col 34}    18932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1087{col 34}     1088

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01945{col 33}  .0172{col 43}1.1308{col 52}0.258{col 60}-.014259{col 73} .053152
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02182{col 33}  .0172{col 43}1.2687{col 52}0.205{col 60}-.011888{col 73} .055523
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02182{col 33}  .0253{col 43}0.8623{col 52}0.389{col 60}-.027773{col 73} .071408
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake240Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125474{col 34}    22097{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8346{col 34}     6315{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.818{col 34}    1.818
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.818{col 34}    1.818
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93032{col 34}    18622
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1090{col 34}     1088

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01735{col 33} .01682{col 43}1.0311{col 52}0.302{col 60}-.015627{col 73} .050325
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02076{col 33} .01682{col 43}1.2337{col 52}0.217{col 60}-.012218{col 73} .053733
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02076{col 33}  .0248{col 43}0.8371{col 52}0.403{col 60}-.027841{col 73} .069356
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake250Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125890{col 34}    21681{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8693{col 34}     6412{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.899{col 34}    1.899
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.899{col 34}    1.899
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93347{col 34}    18307
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1090{col 34}     1086

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01984{col 33} .01662{col 43}1.1939{col 52}0.233{col 60}-.012731{col 73} .052416
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0384{col 33} .01662{col 43}2.3108{col 52}0.021{col 60}  .00583{col 73} .070978
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0384{col 33} .02446{col 43}1.5699{col 52}0.116{col 60}-.009542{col 73}  .08635
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake260Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   126285{col 34}    21286{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8598{col 34}     6320{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.901{col 34}    1.901
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.901{col 34}    1.901
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93658{col 34}    17996
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1090{col 34}     1086

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00269{col 33} .01668{col 43}0.1616{col 52}0.872{col 60}-.029996{col 73} .035385
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00098{col 33} .01668{col 43}-0.0587{col 52}0.953{col 60}-.033669{col 73} .031712
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00098{col 33} .02448{col 43}-0.0400{col 52}0.968{col 60}-.048963{col 73} .047007
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake270Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   126643{col 34}    20928{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8546{col 34}     6306{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.925{col 34}    1.925
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.925{col 34}    1.925
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93937{col 34}    17717
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1089{col 34}     1091

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00829{col 33} .01686{col 43}-0.4917{col 52}0.623{col 60}-.041332{col 73} .024754
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01433{col 33} .01686{col 43}-0.8502{col 52}0.395{col 60}-.047377{col 73} .018709
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01433{col 33} .02408{col 43}-0.5952{col 52}0.552{col 60}-.061539{col 73} .032871
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake280Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   127014{col 34}    20557{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8734{col 34}     6373{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.990{col 34}    1.990
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.990{col 34}    1.990
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    94240{col 34}    17414
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1091{col 34}     1092

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0023{col 33}  .0166{col 43}-0.1388{col 52}0.890{col 60}-.034836{col 73}  .03023
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00698{col 33}  .0166{col 43}-0.4205{col 52}0.674{col 60}-.039513{col 73} .025554
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00698{col 33}  .0236{col 43}-0.2957{col 52}0.767{col 60}-.053237{col 73} .039278
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake290Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   127399{col 34}    20172{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8843{col 34}     6339{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.032{col 34}    2.032
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.032{col 34}    2.032
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    94552{col 34}    17102
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1094{col 34}     1092

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01181{col 33} .01657{col 43}-0.7131{col 52}0.476{col 60}-.044282{col 73} .020655
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00739{col 33} .01657{col 43}-0.4459{col 52}0.656{col 60}-.039854{col 73} .025082
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00739{col 33} .02412{col 43}-0.3062{col 52}0.759{col 60}-.054669{col 73} .039896
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake300Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Colombia.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     4848{col 34}     7785{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      679{col 34}     2266{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.037{col 34}    2.037
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.037{col 34}    2.037
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       86{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02117{col 33} .03991{col 43}-0.5305{col 52}0.596{col 60}-.099386{col 73} .057042
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01863{col 33} .03991{col 43}-0.4668{col 52}0.641{col 60}-.096842{col 73} .059586
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01863{col 33} .05603{col 43}-0.3325{col 52}0.740{col 60}-.128445{col 73} .091188
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-300Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     4901{col 34}     7732{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      693{col 34}     2346{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.005{col 34}    2.005
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.005{col 34}    2.005
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       86{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01025{col 33} .03899{col 43}0.2629{col 52}0.793{col 60}-.066169{col 73} .086672
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01931{col 33} .03899{col 43}-0.4952{col 52}0.620{col 60}-.095728{col 73} .057112
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01931{col 33} .05264{col 43}-0.3668{col 52}0.714{col 60}-.122484{col 73} .083868
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-290Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     4953{col 34}     7680{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      674{col 34}     2119{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.816{col 34}    1.816
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.816{col 34}    1.816
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       85{col 34}       89

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00116{col 33} .03883{col 43}0.0298{col 52}0.976{col 60}-.074947{col 73} .077261
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06197{col 33} .03883{col 43}-1.5960{col 52}0.110{col 60}-.138075{col 73} .014133
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06197{col 33} .05168{col 43}-1.1991{col 52}0.230{col 60}-.163266{col 73} .039323
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-280Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5019{col 34}     7614{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      681{col 34}     2051{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.715{col 34}    1.715
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.715{col 34}    1.715
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       84{col 34}       89

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00805{col 33} .03829{col 43}0.2102{col 52}0.833{col 60}-.066998{col 73} .083097
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06062{col 33} .03829{col 43}-1.5831{col 52}0.113{col 60}-.135666{col 73} .014429
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06062{col 33} .06166{col 43}-0.9832{col 52}0.326{col 60}-.181462{col 73} .060226
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-270Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5088{col 34}     7545{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      708{col 34}     2051{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.650{col 34}    1.650
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.650{col 34}    1.650
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       85{col 34}       89

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01615{col 33} .03624{col 43}0.4456{col 52}0.656{col 60}-.054874{col 73} .087167
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  -.012{col 33} .03624{col 43}-0.3311{col 52}0.741{col 60}-.083017{col 73} .059024
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  -.012{col 33} .05484{col 43}-0.2187{col 52}0.827{col 60}-.119489{col 73} .095496
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-260Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5155{col 34}     7478{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      749{col 34}     2187{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.656{col 34}    1.656
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.656{col 34}    1.656
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       87{col 34}       89

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03712{col 33} .03588{col 43}1.0346{col 52}0.301{col 60}-.033197{col 73} .107433
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01027{col 33} .03588{col 43}0.2864{col 52}0.775{col 60}-.060042{col 73} .080588
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01027{col 33} .05469{col 43}0.1879{col 52}0.851{col 60}-.096912{col 73} .117458
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-250Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5219{col 34}     7414{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      773{col 34}     2265{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.619{col 34}    1.619
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.619{col 34}    1.619
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       87{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04093{col 33} .03456{col 43}1.1843{col 52}0.236{col 60}-.026806{col 73} .108656
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03821{col 33} .03456{col 43}1.1058{col 52}0.269{col 60}-.029519{col 73} .105943
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03821{col 33}  .0525{col 43}0.7278{col 52}0.467{col 60}-.064687{col 73} .141111
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-240Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5301{col 34}     7332{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      806{col 34}     2326{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.585{col 34}    1.585
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.585{col 34}    1.585
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       87{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01963{col 33} .03636{col 43}0.5400{col 52}0.589{col 60}-.051629{col 73} .090893
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04177{col 33} .03636{col 43}1.1487{col 52}0.251{col 60}-.029496{col 73} .113026
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04177{col 33} .05234{col 43}0.7979{col 52}0.425{col 60} -.06082{col 73}  .14435
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-230Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5389{col 34}     7244{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      840{col 34}     2370{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.542{col 34}    1.542
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.542{col 34}    1.542
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       86{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0271{col 33} .03464{col 43}0.7823{col 52}0.434{col 60}-.040798{col 73} .095006
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05284{col 33} .03464{col 43}1.5252{col 52}0.127{col 60}-.015061{col 73} .120743
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05284{col 33} .04969{col 43}1.0635{col 52}0.288{col 60}-.044544{col 73} .150226
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-220Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5488{col 34}     7145{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      888{col 34}     2341{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.473{col 34}    1.473
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.473{col 34}    1.473
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       85{col 34}       89

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04872{col 33} .03349{col 43}1.4549{col 52}0.146{col 60}-.016915{col 73} .114363
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05838{col 33} .03349{col 43}1.7432{col 52}0.081{col 60} -.00726{col 73} .124018
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05838{col 33} .04827{col 43}1.2094{col 52}0.227{col 60} -.03623{col 73} .152988
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-210Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5594{col 34}     7039{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      946{col 34}     2356{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.433{col 34}    1.433
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.433{col 34}    1.433
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       86{col 34}       89

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03913{col 33}  .0321{col 43}1.2191{col 52}0.223{col 60}-.023782{col 73} .102041
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03577{col 33}  .0321{col 43}1.1145{col 52}0.265{col 60}-.027137{col 73} .098686
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03577{col 33} .04332{col 43}0.8257{col 52}0.409{col 60}-.049141{col 73} .120689
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-200Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5717{col 34}     6916{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      991{col 34}     2269{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.354{col 34}    1.354
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.354{col 34}    1.354
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       86{col 34}       89

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01294{col 33}  .0323{col 43}0.4007{col 52}0.689{col 60}-.050368{col 73} .076254
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03027{col 33}  .0323{col 43}0.9371{col 52}0.349{col 60}-.033042{col 73}  .09358
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03027{col 33} .04868{col 43}0.6218{col 52}0.534{col 60}-.065137{col 73} .125675
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-190Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5841{col 34}     6792{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1046{col 34}     2255{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.313{col 34}    1.313
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.313{col 34}    1.313
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       89

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02899{col 33} .03305{col 43}-0.8773{col 52}0.380{col 60}-.093767{col 73} .035779
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00627{col 33} .03305{col 43}0.1896{col 52}0.850{col 60}-.058508{col 73} .071038
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00627{col 33} .04907{col 43}0.1277{col 52}0.898{col 60}-.089904{col 73} .102434
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-180Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5971{col 34}     6662{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1097{col 34}     2190{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.253{col 34}    1.253
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.253{col 34}    1.253
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       86{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0491{col 33} .03207{col 43}-1.5309{col 52}0.126{col 60}-.111959{col 73} .013763
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0043{col 33} .03207{col 43}0.1341{col 52}0.893{col 60}-.058561{col 73} .067161
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0043{col 33} .05141{col 43}0.0836{col 52}0.933{col 60}-.096469{col 73}  .10507
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-170Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6091{col 34}     6542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1155{col 34}     2231{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.231{col 34}    1.231
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.231{col 34}    1.231
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       85{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06906{col 33} .03375{col 43}-2.0462{col 52}0.041{col 60}-.135207{col 73} -.00291
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02837{col 33} .03375{col 43}-0.8405{col 52}0.401{col 60}-.094514{col 73} .037782
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02837{col 33}   .054{col 43}-0.5253{col 52}0.599{col 60}  -.1342{col 73} .077468
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-160Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6214{col 34}     6419{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1185{col 34}     2226{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.185{col 34}    1.185
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.185{col 34}    1.185
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       85{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07708{col 33}  .0321{col 43}-2.4010{col 52}0.016{col 60}-.140003{col 73}-.014158
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0042{col 33}  .0321{col 43}-0.1307{col 52}0.896{col 60} -.06712{col 73} .058725
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0042{col 33} .04621{col 43}-0.0908{col 52}0.928{col 60}-.094758{col 73} .086363
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-150Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6374{col 34}     6259{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1249{col 34}     2175{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.142{col 34}    1.142
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.142{col 34}    1.142
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       87{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07296{col 33} .03186{col 43}-2.2901{col 52}0.022{col 60}-.135406{col 73}-.010519
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00862{col 33} .03186{col 43}-0.2706{col 52}0.787{col 60}-.071065{col 73} .053822
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00862{col 33} .04196{col 43}-0.2055{col 52}0.837{col 60}-.090857{col 73} .073615
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-140Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6527{col 34}     6106{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1357{col 34}     2224{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.163{col 34}    1.163
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.163{col 34}    1.163
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       87{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05053{col 33} .03131{col 43}-1.6137{col 52}0.107{col 60}-.111893{col 73}  .01084
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0169{col 33} .03131{col 43}0.5399{col 52}0.589{col 60}-.044463{col 73} .078269
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0169{col 33} .04115{col 43}0.4108{col 52}0.681{col 60} -.06374{col 73} .097546
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-130Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6681{col 34}     5952{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1473{col 34}     2312{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.216{col 34}    1.216
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.216{col 34}    1.216
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       87{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06364{col 33} .03081{col 43}-2.0656{col 52}0.039{col 60}-.124018{col 73}-.003255
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01541{col 33} .03081{col 43}0.5002{col 52}0.617{col 60}-.044971{col 73} .075791
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01541{col 33} .04491{col 43}0.3431{col 52}0.731{col 60}-.072607{col 73} .103427
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-120Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6860{col 34}     5773{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1599{col 34}     2314{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.240{col 34}    1.240
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.240{col 34}    1.240
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       87{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07184{col 33} .02941{col 43}-2.4429{col 52}0.015{col 60} -.12947{col 73}-.014202
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04524{col 33} .02941{col 43}1.5384{col 52}0.124{col 60}-.012396{col 73} .102872
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04524{col 33} .04225{col 43}1.0707{col 52}0.284{col 60}-.037575{col 73}  .12805
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-110Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7040{col 34}     5593{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1686{col 34}     2277{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.246{col 34}    1.246
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.246{col 34}    1.246
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0692{col 33} .02902{col 43}-2.3845{col 52}0.017{col 60}-.126076{col 73}-.012319
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01297{col 33} .02902{col 43}0.4469{col 52}0.655{col 60}-.043909{col 73} .069848
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01297{col 33} .04051{col 43}0.3201{col 52}0.749{col 60}-.066436{col 73} .092376
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-100Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7234{col 34}     5399{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1886{col 34}     2345{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.354{col 34}    1.354
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.354{col 34}    1.354
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04886{col 33} .02776{col 43}-1.7603{col 52}0.078{col 60}-.103266{col 73} .005542
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04525{col 33} .02776{col 43}1.6301{col 52}0.103{col 60}-.009156{col 73} .099652
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04525{col 33}   .037{col 43}1.2229{col 52}0.221{col 60}-.027271{col 73} .117768
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-90Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7432{col 34}     5201{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2071{col 34}     2311{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.429{col 34}    1.429
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.429{col 34}    1.429
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01427{col 33} .02871{col 43}-0.4969{col 52}0.619{col 60}-.070531{col 73} .041999
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00202{col 33} .02871{col 43}-0.0703{col 52}0.944{col 60}-.058284{col 73} .054247
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00202{col 33} .03446{col 43}-0.0586{col 52}0.953{col 60}-.069557{col 73} .065521
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-80Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7667{col 34}     4966{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2205{col 34}     2171{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.428{col 34}    1.428
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.428{col 34}    1.428
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01359{col 33} .02833{col 43}-0.4795{col 52}0.632{col 60} -.06911{col 73}  .04194
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.07877{col 33} .02833{col 43}-2.7804{col 52}0.005{col 60}-.134291{col 73}-.023242
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.07877{col 33} .03483{col 43}-2.2616{col 52}0.024{col 60}-.147028{col 73}-.010505
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-70Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7883{col 34}     4750{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2561{col 34}     2243{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.681{col 34}    1.681
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.681{col 34}    1.681
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05551{col 33} .02803{col 43}1.9803{col 52}0.048{col 60} .000569{col 73} .110447
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04944{col 33} .02803{col 43}-1.7636{col 52}0.078{col 60}-.104375{col 73} .005503
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04944{col 33} .03602{col 43}-1.3726{col 52}0.170{col 60}-.120026{col 73} .021154
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-60Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8073{col 34}     4560{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2746{col 34}     2186{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.772{col 34}    1.772
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.772{col 34}    1.772
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0979{col 33} .02783{col 43}3.5176{col 52}0.000{col 60} .043352{col 73} .152451
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03148{col 33} .02783{col 43}-1.1310{col 52}0.258{col 60}-.086028{col 73} .023071
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03148{col 33} .03539{col 43}-0.8894{col 52}0.374{col 60}-.100846{col 73} .037889
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-50Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8256{col 34}     4377{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3225{col 34}     2331{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.276{col 34}    2.276
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.276{col 34}    2.276
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       89

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .16161{col 33} .02466{col 43}6.5535{col 52}0.000{col 60} .113276{col 73}  .20994
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02542{col 33} .02466{col 43}1.0308{col 52}0.303{col 60}-.022913{col 73} .073752
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02542{col 33} .03466{col 43}0.7334{col 52}0.463{col 60}-.042514{col 73} .093353
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-40Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8467{col 34}     4166{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3790{col 34}     2474{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.072{col 34}    3.072
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.072{col 34}    3.072
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .24311{col 33} .02262{col 43}10.7469{col 52}0.000{col 60} .198777{col 73} .287452
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .1069{col 33} .02262{col 43}4.7254{col 52}0.000{col 60} .062559{col 73} .151235
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .1069{col 33} .03138{col 43}3.4069{col 52}0.001{col 60} .045401{col 73} .168393
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-30Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8650{col 34}     3983{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4144{col 34}     2453{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.653{col 34}    3.653
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.653{col 34}    3.653
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .29985{col 33} .02325{col 43}12.8964{col 52}0.000{col 60}  .25428{col 73} .345422
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .19739{col 33} .02325{col 43}8.4895{col 52}0.000{col 60} .151818{col 73} .242959
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .19739{col 33} .03208{col 43}6.1533{col 52}0.000{col 60} .134516{col 73} .260261
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-20Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8814{col 34}     3819{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4516{col 34}     2452{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.455{col 34}    4.455
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.455{col 34}    4.455
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .32684{col 33} .02303{col 43}14.1931{col 52}0.000{col 60} .281707{col 73} .371976
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .23004{col 33} .02303{col 43}9.9896{col 52}0.000{col 60} .184909{col 73} .275177
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .23004{col 33} .02941{col 43}7.8218{col 52}0.000{col 60}   .1724{col 73} .287686
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-10Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4930{col 34}     2459{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.453{col 34}    5.453
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.453{col 34}    5.453
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .34599{col 33} .02279{col 43}15.1802{col 52}0.000{col 60} .301318{col 73} .390662
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .26636{col 33} .02279{col 43}11.6862{col 52}0.000{col 60} .221683{col 73} .311027
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .26636{col 33} .02591{col 43}10.2816{col 52}0.000{col 60}  .21558{col 73}  .31713
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake0Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9116{col 34}     3517{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5186{col 34}     2395{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.981{col 34}    5.981
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.981{col 34}    5.981
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .3394{col 33} .02467{col 43}13.7561{col 52}0.000{col 60} .291043{col 73} .387758
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .24751{col 33} .02467{col 43}10.0316{col 52}0.000{col 60} .199149{col 73} .295864
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .24751{col 33} .02986{col 43}8.2880{col 52}0.000{col 60} .188975{col 73} .306037
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake10Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9253{col 34}     3380{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4978{col 34}     2123{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.841{col 34}    4.841
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.841{col 34}    4.841
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .30797{col 33} .02612{col 43}11.7926{col 52}0.000{col 60} .256781{col 73} .359151
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .19358{col 33} .02612{col 43}7.4124{col 52}0.000{col 60} .142391{col 73} .244761
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .19358{col 33} .03225{col 43}6.0023{col 52}0.000{col 60} .130366{col 73} .256786
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake20Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9386{col 34}     3247{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4755{col 34}     1838{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.766{col 34}    3.766
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.766{col 34}    3.766
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .2593{col 33} .02571{col 43}10.0849{col 52}0.000{col 60} .208909{col 73} .309699
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .12549{col 33} .02571{col 43}4.8804{col 52}0.000{col 60} .075092{col 73} .175881
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .12549{col 33}  .0362{col 43}3.4662{col 52}0.001{col 60} .054531{col 73} .196442
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake30Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9525{col 34}     3108{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4343{col 34}     1521{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.847{col 34}    2.847
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.847{col 34}    2.847
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .15862{col 33} .03087{col 43}5.1385{col 52}0.000{col 60} .098119{col 73} .219123
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02194{col 33} .03087{col 43}-0.7107{col 52}0.477{col 60}-.082439{col 73} .038565
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02194{col 33} .04119{col 43}-0.5326{col 52}0.594{col 60}-.102662{col 73} .058788
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake40Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9621{col 34}     3012{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4050{col 34}     1378{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.514{col 34}    2.514
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.514{col 34}    2.514
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .09824{col 33} .03273{col 43}3.0011{col 52}0.003{col 60}  .03408{col 73} .162392
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.12437{col 33} .03273{col 43}-3.7995{col 52}0.000{col 60}-.188524{col 73}-.060212
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.12437{col 33} .04441{col 43}-2.8004{col 52}0.005{col 60} -.21141{col 73}-.037326
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake50Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9719{col 34}     2914{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3591{col 34}     1222{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.174{col 34}    2.174
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.174{col 34}    2.174
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02834{col 33} .03356{col 43}0.8445{col 52}0.398{col 60} -.03743{col 73} .094104
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.12464{col 33} .03356{col 43}-3.7146{col 52}0.000{col 60} -.19041{col 73}-.058876
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.12464{col 33} .05054{col 43}-2.4665{col 52}0.014{col 60} -.22369{col 73}-.025596
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake60Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9809{col 34}     2824{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3718{col 34}     1182{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.299{col 34}    2.299
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.299{col 34}    2.299
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02181{col 33} .03553{col 43}0.6138{col 52}0.539{col 60} -.04783{col 73} .091442
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.08515{col 33} .03553{col 43}-2.3967{col 52}0.017{col 60} -.15479{col 73}-.015518
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.08515{col 33} .05135{col 43}-1.6584{col 52}0.097{col 60}-.185794{col 73} .015485
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake70Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9914{col 34}     2719{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3628{col 34}     1094{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.250{col 34}    2.250
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.250{col 34}    2.250
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04068{col 33}  .0382{col 43}-1.0650{col 52}0.287{col 60}-.115556{col 73} .034188
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.11959{col 33}  .0382{col 43}-3.1306{col 52}0.002{col 60}-.194464{col 73} -.04472
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.11959{col 33}   .056{col 43}-2.1355{col 52}0.033{col 60}-.229355{col 73}-.009829
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake80Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9983{col 34}     2650{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3298{col 34}     1007{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.096{col 34}    2.096
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.096{col 34}    2.096
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07767{col 33} .03923{col 43}-1.9797{col 52}0.048{col 60}-.154558{col 73}-.000775
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0642{col 33} .03923{col 43}-1.6365{col 52}0.102{col 60}-.141093{col 73}  .01269
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0642{col 33} .05583{col 43}-1.1501{col 52}0.250{col 60}-.173617{col 73} .045214
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake90Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10055{col 34}     2578{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2974{col 34}      931{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.980{col 34}    1.980
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.980{col 34}    1.980
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.13618{col 33} .04091{col 43}-3.3289{col 52}0.001{col 60} -.21636{col 73}-.056001
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06224{col 33} .04091{col 43}-1.5215{col 52}0.128{col 60}-.142422{col 73} .017937
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06224{col 33} .05511{col 43}-1.1295{col 52}0.259{col 60}-.170249{col 73} .045765
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake100Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10141{col 34}     2492{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2975{col 34}      884{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.036{col 34}    2.036
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.036{col 34}    2.036
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.1348{col 33} .04357{col 43}-3.0937{col 52}0.002{col 60}-.220208{col 73}  -.0494
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02558{col 33} .04357{col 43}-0.5869{col 52}0.557{col 60}-.110979{col 73} .059829
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02558{col 33} .05986{col 43}-0.4273{col 52}0.669{col 60}-.142892{col 73} .091742
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake110Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10215{col 34}     2418{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2542{col 34}      802{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.896{col 34}    1.896
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.896{col 34}    1.896
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.20017{col 33} .04553{col 43}-4.3961{col 52}0.000{col 60}-.289408{col 73}-.110923
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06766{col 33} .04553{col 43}-1.4859{col 52}0.137{col 60}-.156898{col 73} .021586
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06766{col 33} .06239{col 43}-1.0845{col 52}0.278{col 60} -.18993{col 73} .054618
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake120Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10279{col 34}     2354{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2409{col 34}      762{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.906{col 34}    1.906
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.906{col 34}    1.906
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.17938{col 33} .04934{col 43}-3.6354{col 52}0.000{col 60}-.276092{col 73} -.08267
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00744{col 33} .04934{col 43}0.1508{col 52}0.880{col 60}-.089269{col 73} .104153
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00744{col 33} .06175{col 43}0.1205{col 52}0.904{col 60} -.11359{col 73} .128473
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake130Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10337{col 34}     2296{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2189{col 34}      712{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.854{col 34}    1.854
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.854{col 34}    1.854
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.21026{col 33}  .0516{col 43}-4.0749{col 52}0.000{col 60}-.311398{col 73}-.109129
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02339{col 33}  .0516{col 43}-0.4533{col 52}0.650{col 60}-.124524{col 73} .077746
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02339{col 33} .06604{col 43}-0.3541{col 52}0.723{col 60}-.152833{col 73} .106055
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake140Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10380{col 34}     2253{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1975{col 34}      688{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.831{col 34}    1.831
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.831{col 34}    1.831
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.16796{col 33}  .0525{col 43}-3.1990{col 52}0.001{col 60} -.27086{col 73}-.065055
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01732{col 33}  .0525{col 43}0.3299{col 52}0.741{col 60}-.085584{col 73} .120222
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01732{col 33} .06611{col 43}0.2620{col 52}0.793{col 60}-.112262{col 73}   .1469
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake150Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10449{col 34}     2184{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2084{col 34}      675{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.947{col 34}    1.947
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.947{col 34}    1.947
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.11409{col 33} .05282{col 43}-2.1599{col 52}0.031{col 60}-.217612{col 73}-.010559
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .10515{col 33} .05282{col 43}1.9907{col 52}0.047{col 60} .001621{col 73} .208675
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .10515{col 33} .06857{col 43}1.5335{col 52}0.125{col 60}-.029244{col 73} .239539
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake160Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10495{col 34}     2138{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2002{col 34}      661{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.988{col 34}    1.988
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.988{col 34}    1.988
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07307{col 33} .05269{col 43}-1.3868{col 52}0.165{col 60}-.176339{col 73} .030199
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .1624{col 33} .05269{col 43}3.0822{col 52}0.002{col 60} .059128{col 73} .265666
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .1624{col 33} .07135{col 43}2.2760{col 52}0.023{col 60}  .02255{col 73} .302244
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake170Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10547{col 34}     2086{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1671{col 34}      603{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.861{col 34}    1.861
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.861{col 34}    1.861
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05813{col 33} .05183{col 43}-1.1216{col 52}0.262{col 60}-.159714{col 73} .043451
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04823{col 33} .05183{col 43}0.9305{col 52}0.352{col 60}-.053354{col 73} .149811
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04823{col 33} .07165{col 43}0.6731{col 52}0.501{col 60}-.092198{col 73} .188655
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake180Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10599{col 34}     2034{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1659{col 34}      581{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.929{col 34}    1.929
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.929{col 34}    1.929
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06025{col 33} .05053{col 43}-1.1922{col 52}0.233{col 60}-.159293{col 73} .038796
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02084{col 33} .05053{col 43}-0.4124{col 52}0.680{col 60}-.119882{col 73} .078207
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02084{col 33} .07265{col 43}-0.2868{col 52}0.774{col 60}-.163227{col 73} .121551
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake190Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10659{col 34}     1974{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1708{col 34}      556{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.020{col 34}    2.020
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.020{col 34}    2.020
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03737{col 33} .05184{col 43}-0.7208{col 52}0.471{col 60}-.138979{col 73} .064244
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00547{col 33} .05184{col 43}0.1054{col 52}0.916{col 60}-.096146{col 73} .107076
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00547{col 33} .07809{col 43}0.0700{col 52}0.944{col 60}-.147579{col 73} .158509
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake200Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10695{col 34}     1938{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1580{col 34}      533{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.003{col 34}    2.003
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.003{col 34}    2.003
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03994{col 33} .05422{col 43}-0.7366{col 52}0.461{col 60}-.146208{col 73} .066328
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00392{col 33} .05422{col 43}0.0723{col 52}0.942{col 60}-.102349{col 73} .110188
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00392{col 33} .07603{col 43}0.0516{col 52}0.959{col 60}-.145104{col 73} .152943
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake210Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10739{col 34}     1894{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1521{col 34}      505{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.021{col 34}    2.021
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.021{col 34}    2.021
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00622{col 33} .05479{col 43}-0.1135{col 52}0.910{col 60}-.113607{col 73} .101167
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .07166{col 33} .05479{col 43}1.3080{col 52}0.191{col 60}-.035724{col 73}  .17905
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .07166{col 33}  .0737{col 43}0.9723{col 52}0.331{col 60}-.072795{col 73} .216122
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake220Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10789{col 34}     1844{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1488{col 34}      483{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.069{col 34}    2.069
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.069{col 34}    2.069
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0207{col 33} .05449{col 43}0.3798{col 52}0.704{col 60}-.086099{col 73} .127494
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03091{col 33} .05449{col 43}0.5672{col 52}0.571{col 60}-.075889{col 73} .137703
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03091{col 33} .07791{col 43}0.3967{col 52}0.692{col 60}-.121793{col 73} .183608
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake230Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10821{col 34}     1812{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1397{col 34}      460{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.068{col 34}    2.068
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.068{col 34}    2.068
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03275{col 33} .05547{col 43}0.5904{col 52}0.555{col 60} -.07597{col 73} .141477
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0665{col 33} .05547{col 43}1.1988{col 52}0.231{col 60}-.042221{col 73} .175227
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0665{col 33} .07785{col 43}0.8542{col 52}0.393{col 60} -.08609{col 73} .219095
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake240Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10862{col 34}     1771{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1362{col 34}      441{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.119{col 34}    2.119
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.119{col 34}    2.119
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00142{col 33} .05752{col 43}0.0246{col 52}0.980{col 60}-.111324{col 73} .114155
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01495{col 33} .05752{col 43}0.2599{col 52}0.795{col 60} -.09779{col 73} .127689
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01495{col 33} .07703{col 43}0.1941{col 52}0.846{col 60}-.136028{col 73} .165927
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake250Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10893{col 34}     1740{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1323{col 34}      430{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.157{col 34}    2.157
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.157{col 34}    2.157
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0025{col 33} .06151{col 43}0.0407{col 52}0.968{col 60}-.118057{col 73} .123063
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00143{col 33} .06151{col 43}0.0232{col 52}0.981{col 60} -.11913{col 73} .121989
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00143{col 33} .08159{col 43}0.0175{col 52}0.986{col 60}-.158482{col 73} .161341
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake260Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10929{col 34}     1704{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1294{col 34}      423{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.187{col 34}    2.187
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.187{col 34}    2.187
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01252{col 33} .06034{col 43}0.2075{col 52}0.836{col 60}-.105739{col 73} .130772
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .06602{col 33} .06034{col 43}1.0942{col 52}0.274{col 60}-.052235{col 73} .184276
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .06602{col 33} .08515{col 43}0.7754{col 52}0.438{col 60}-.100863{col 73} .232903
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake270Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10946{col 34}     1687{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1149{col 34}      411{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.114{col 34}    2.114
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.114{col 34}    2.114
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04175{col 33} .06027{col 43}0.6927{col 52}0.489{col 60}-.076379{col 73} .159873
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03414{col 33} .06027{col 43}0.5664{col 52}0.571{col 60}-.083986{col 73} .152265
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03414{col 33} .08589{col 43}0.3975{col 52}0.691{col 60}-.134208{col 73} .202487
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake280Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10964{col 34}     1669{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1152{col 34}      419{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.197{col 34}    2.197
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.197{col 34}    2.197
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0176{col 33} .05908{col 43}0.2980{col 52}0.766{col 60}-.098186{col 73} .133394
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04307{col 33} .05908{col 43}-0.7290{col 52}0.466{col 60} -.15886{col 73} .072721
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04307{col 33} .09038{col 43}-0.4765{col 52}0.634{col 60} -.22022{col 73} .134082
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake290Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10992{col 34}     1641{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1135{col 34}      410{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.253{col 34}    2.253
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.253{col 34}    2.253
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02214{col 33} .06135{col 43}0.3608{col 52}0.718{col 60}-.098109{col 73} .142385
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06772{col 33} .06135{col 43}-1.1038{col 52}0.270{col 60}-.187968{col 73} .052526
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06772{col 33} .09234{col 43}-0.7334{col 52}0.463{col 60} -.24871{col 73} .113268
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake300Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Denmark.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    42493{col 34}   112050{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16222{col 34}    45304{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.977{col 34}    1.977
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.977{col 34}    1.977
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    21313{col 34}    66562
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      436{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01037{col 33} .01103{col 43}-0.9401{col 52}0.347{col 60}-.031995{col 73} .011252
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01686{col 33} .01103{col 43}1.5280{col 52}0.127{col 60}-.004766{col 73} .038481
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01686{col 33}  .0158{col 43}1.0669{col 52}0.286{col 60}-.014112{col 73} .047827
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-300Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    43806{col 34}   110737{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16671{col 34}    45286{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.921{col 34}    1.921
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.921{col 34}    1.921
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    21893{col 34}    65982
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      436{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01265{col 33} .01043{col 43}-1.2133{col 52}0.225{col 60}-.033086{col 73} .007784
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01933{col 33} .01043{col 43}1.8542{col 52}0.064{col 60}-.001103{col 73} .039768
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01933{col 33} .01511{col 43}1.2796{col 52}0.201{col 60}-.010279{col 73} .048944
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-290Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    45203{col 34}   109340{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17020{col 34}    44306{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.836{col 34}    1.836
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.836{col 34}    1.836
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    22533{col 34}    65342
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      436{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01745{col 33}  .0105{col 43}-1.6626{col 52}0.096{col 60}-.038024{col 73} .003121
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00322{col 33}  .0105{col 43}-0.3070{col 52}0.759{col 60}-.023796{col 73}  .01735
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00322{col 33} .01531{col 43}-0.2105{col 52}0.833{col 60}-.033228{col 73} .026782
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-280Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    46706{col 34}   107837{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16502{col 34}    39120{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.608{col 34}    1.608
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.608{col 34}    1.608
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    23245{col 34}    64630
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      436{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0179{col 33} .01071{col 43}-1.6722{col 52}0.094{col 60}-.038884{col 73} .003081
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00656{col 33} .01071{col 43}-0.6125{col 52}0.540{col 60}-.027539{col 73} .014425
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00656{col 33} .01487{col 43}-0.4409{col 52}0.659{col 60}-.035704{col 73}  .02259
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-270Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    48263{col 34}   106280{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16438{col 34}    36972{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.488{col 34}    1.488
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.488{col 34}    1.488
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    23979{col 34}    63896
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      435{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0081{col 33} .01117{col 43}-0.7257{col 52}0.468{col 60}-.029991{col 73} .013783
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02326{col 33} .01117{col 43}2.0829{col 52}0.037{col 60} .001373{col 73} .045147
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02326{col 33} .01498{col 43}1.5524{col 52}0.121{col 60}-.006106{col 73} .052625
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-260Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    49858{col 34}   104685{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16278{col 34}    34658{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.364{col 34}    1.364
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.364{col 34}    1.364
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    24722{col 34}    63153
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      438{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00069{col 33} .01104{col 43}-0.0626{col 52}0.950{col 60}-.022338{col 73} .020955
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02382{col 33} .01104{col 43}2.1563{col 52}0.031{col 60} .002169{col 73} .045462
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02382{col 33} .01491{col 43}1.5976{col 52}0.110{col 60}-.005401{col 73} .053032
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-250Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    51587{col 34}   102956{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14826{col 34}    28400{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.117{col 34}    1.117
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.117{col 34}    1.117
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    25529{col 34}    62346
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      439{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00247{col 33} .01201{col 43}-0.2061{col 52}0.837{col 60}-.026005{col 73} .021057
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00796{col 33} .01201{col 43}-0.6631{col 52}0.507{col 60}-.031492{col 73} .015571
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00796{col 33}  .0154{col 43}-0.5171{col 52}0.605{col 60}-.038137{col 73} .022215
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-240Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    53380{col 34}   101163{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15280{col 34}    28810{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.088{col 34}    1.088
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.088{col 34}    1.088
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    26370{col 34}    61505
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      439{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00056{col 33} .01208{col 43}-0.0468{col 52}0.963{col 60}-.024247{col 73} .023117
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00603{col 33} .01208{col 43}0.4987{col 52}0.618{col 60}-.017657{col 73} .029708
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00603{col 33} .01602{col 43}0.3761{col 52}0.707{col 60}-.025371{col 73} .037422
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-230Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    55498{col 34}    99045{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15458{col 34}    27570{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.015{col 34}    1.015
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.015{col 34}    1.015
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    27371{col 34}    60504
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      441{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0012{col 33} .01161{col 43}-0.1029{col 52}0.918{col 60}-.023951{col 73}  .02156
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01278{col 33} .01161{col 43}1.1011{col 52}0.271{col 60}-.009972{col 73} .035539
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01278{col 33} .01629{col 43}0.7847{col 52}0.433{col 60}-.019145{col 73} .044712
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-220Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    57531{col 34}    97012{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15318{col 34}    25748{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.922{col 34}    0.922
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.922{col 34}    0.922
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    28355{col 34}    59520
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      441{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00431{col 33} .01174{col 43}-0.3668{col 52}0.714{col 60}-.027328{col 73} .018711
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01099{col 33} .01174{col 43}0.9360{col 52}0.349{col 60}-.012027{col 73} .034013
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01099{col 33} .01677{col 43}0.6555{col 52}0.512{col 60}-.021874{col 73}  .04386
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-210Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    59815{col 34}    94728{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15681{col 34}    25087{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.877{col 34}    0.877
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.877{col 34}    0.877
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    29471{col 34}    58404
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      441{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01859{col 33} .01189{col 43}-1.5639{col 52}0.118{col 60}-.041883{col 73} .004707
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01969{col 33} .01189{col 43}-1.6562{col 52}0.098{col 60} -.04298{col 73}  .00361
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01969{col 33} .01632{col 43}-1.2059{col 52}0.228{col 60} -.05168{col 73} .012309
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-200Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    62342{col 34}    92201{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16432{col 34}    24792{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.852{col 34}    0.852
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.852{col 34}    0.852
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    30656{col 34}    57219
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      440{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01166{col 33} .01198{col 43}-0.9733{col 52}0.330{col 60}-.035129{col 73} .011816
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02169{col 33} .01198{col 43}1.8113{col 52}0.070{col 60} -.00178{col 73} .045165
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02169{col 33} .01726{col 43}1.2570{col 52}0.209{col 60}-.012132{col 73} .055518
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-190Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    64821{col 34}    89722{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16297{col 34}    23163{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.784{col 34}    0.784
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.784{col 34}    0.784
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    31914{col 34}    55961
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      441{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01502{col 33}  .0122{col 43}-1.2311{col 52}0.218{col 60}-.038946{col 73} .008896
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00726{col 33}  .0122{col 43}-0.5945{col 52}0.552{col 60}-.031176{col 73} .016665
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00726{col 33} .01625{col 43}-0.4466{col 52}0.655{col 60}-.039095{col 73} .024584
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-180Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    67525{col 34}    87018{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17294{col 34}    23135{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.777{col 34}    0.777
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.777{col 34}    0.777
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    33283{col 34}    54592
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01149{col 33} .01255{col 43}-0.9153{col 52}0.360{col 60}-.036079{col 73} .013108
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0045{col 33} .01255{col 43}-0.3585{col 52}0.720{col 60}-.029092{col 73} .020096
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0045{col 33} .01576{col 43}-0.2854{col 52}0.775{col 60}-.035393{col 73} .026397
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-170Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    70501{col 34}    84042{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18208{col 34}    22364{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.761{col 34}    0.761
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.761{col 34}    0.761
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    34770{col 34}    53105
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01063{col 33} .01272{col 43}-0.8354{col 52}0.403{col 60}-.035561{col 73} .014305
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} 3.0e-05{col 33} .01272{col 43}0.0024{col 52}0.998{col 60}-.024903{col 73} .024963
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} 3.0e-05{col 33} .01656{col 43}0.0018{col 52}0.999{col 60}-.032435{col 73} .032495
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-160Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    73450{col 34}    81093{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19640{col 34}    22421{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.780{col 34}    0.780
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.780{col 34}    0.780
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    36275{col 34}    51600
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00581{col 33} .01309{col 43}-0.4436{col 52}0.657{col 60}-.031457{col 73} .019845
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02291{col 33} .01309{col 43}-1.7503{col 52}0.080{col 60}-.048558{col 73} .002744
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02291{col 33} .01821{col 43}-1.2580{col 52}0.208{col 60}-.058596{col 73} .012783
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-150Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    76485{col 34}    78058{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20716{col 34}    21759{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.785{col 34}    0.785
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.785{col 34}    0.785
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    37861{col 34}    50014
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      441{col 34}      443

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00798{col 33} .01289{col 43}0.6192{col 52}0.536{col 60}-.017277{col 73} .033238
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00183{col 33} .01289{col 43}0.1423{col 52}0.887{col 60}-.023423{col 73} .027092
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00183{col 33}   .019{col 43}0.0965{col 52}0.923{col 60}-.035412{col 73}  .03908
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-140Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    79489{col 34}    75054{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21764{col 34}    20997{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.790{col 34}    0.790
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.790{col 34}    0.790
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    39543{col 34}    48332
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      443

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01655{col 33} .01301{col 43}1.2727{col 52}0.203{col 60} -.00894{col 73} .042049
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02558{col 33} .01301{col 43}1.9664{col 52}0.049{col 60} .000083{col 73} .051072
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02558{col 33} .01751{col 43}1.4607{col 52}0.144{col 60}-.008743{col 73} .059899
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-130Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    82555{col 34}    71988{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    22436{col 34}    19845{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.787{col 34}    0.787
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.787{col 34}    0.787
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    41192{col 34}    46683
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00632{col 33} .01452{col 43}0.4352{col 52}0.663{col 60}-.022136{col 73} .034773
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01172{col 33} .01452{col 43}0.8073{col 52}0.419{col 60}-.016734{col 73} .040175
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01172{col 33} .01574{col 43}0.7448{col 52}0.456{col 60}-.019124{col 73} .042566
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-120Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    85590{col 34}    68953{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24344{col 34}    19492{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.842{col 34}    0.842
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.842{col 34}    0.842
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    42894{col 34}    44981
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00157{col 33} .01624{col 43}0.0968{col 52}0.923{col 60} -.03025{col 73} .033394
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00917{col 33} .01624{col 43}-0.5649{col 52}0.572{col 60}-.040993{col 73} .022651
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00917{col 33} .01584{col 43}-0.5791{col 52}0.563{col 60}-.040209{col 73} .021867
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-110Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    88484{col 34}    66059{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25967{col 34}    19004{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.892{col 34}    0.892
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.892{col 34}    0.892
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    44568{col 34}    43307
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00102{col 33} .01576{col 43}0.0647{col 52}0.948{col 60}-.029862{col 73}   .0319
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01607{col 33} .01576{col 43}-1.0200{col 52}0.308{col 60}-.046953{col 73} .014809
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01607{col 33} .01867{col 43}-0.8608{col 52}0.389{col 60}-.052664{col 73}  .02052
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-100Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    91260{col 34}    63283{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27681{col 34}    17604{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.950{col 34}    0.950
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.950{col 34}    0.950
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    46197{col 34}    41678
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00883{col 33} .01547{col 43}-0.5712{col 52}0.568{col 60}-.039149{col 73}  .02148
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02546{col 33} .01547{col 43}-1.6464{col 52}0.100{col 60}-.055778{col 73}  .00485
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02546{col 33} .02068{col 43}-1.2312{col 52}0.218{col 60}-.065999{col 73} .015072
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-90Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    93853{col 34}    60690{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    29394{col 34}    17213{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.016{col 34}    1.016
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.016{col 34}    1.016
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    47738{col 34}    40137
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      442

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0083{col 33} .01448{col 43}0.5732{col 52}0.566{col 60}-.020079{col 73} .036678
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00855{col 33} .01448{col 43}-0.5904{col 52}0.555{col 60}-.036927{col 73} .019829
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00855{col 33} .02041{col 43}-0.4189{col 52}0.675{col 60}-.048547{col 73}  .03145
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-80Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    96344{col 34}    58199{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31042{col 34}    16957{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.083{col 34}    1.083
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.083{col 34}    1.083
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    49250{col 34}    38625
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      441

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01912{col 33} .01408{col 43}1.3572{col 52}0.175{col 60} -.00849{col 73} .046721
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00836{col 33} .01408{col 43}0.5935{col 52}0.553{col 60}-.019246{col 73} .035965
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00836{col 33} .01939{col 43}0.4312{col 52}0.666{col 60}-.029641{col 73}  .04636
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-70Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    98551{col 34}    55992{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    33751{col 34}    17535{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.201{col 34}    1.201
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.201{col 34}    1.201
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    50578{col 34}    37297
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      437

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02919{col 33} .01374{col 43}2.1249{col 52}0.034{col 60} .002265{col 73} .056109
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00813{col 33} .01374{col 43}0.5922{col 52}0.554{col 60}-.018787{col 73} .035057
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00813{col 33} .01775{col 43}0.4584{col 52}0.647{col 60}-.026647{col 73} .042916
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-60Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   100666{col 34}    53877{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    38820{col 34}    19159{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.419{col 34}    1.419
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.419{col 34}    1.419
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    51822{col 34}    36053
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04599{col 33} .01354{col 43}3.3957{col 52}0.001{col 60} .019446{col 73}  .07254
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00261{col 33} .01354{col 43}-0.1924{col 52}0.847{col 60}-.029152{col 73} .023941
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00261{col 33} .01709{col 43}-0.1524{col 52}0.879{col 60}-.036105{col 73} .030894
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-50Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   102654{col 34}    51889{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    35676{col 34}    17176{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.319{col 34}    1.319
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.319{col 34}    1.319
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    53022{col 34}    34853
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03782{col 33} .01318{col 43}2.8685{col 52}0.004{col 60} .011978{col 73} .063656
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00415{col 33} .01318{col 43}-0.3148{col 52}0.753{col 60}-.029989{col 73}  .02169
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00415{col 33} .01566{col 43}-0.2649{col 52}0.791{col 60}-.034848{col 73} .026548
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-40Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   104400{col 34}    50143{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    32366{col 34}    15720{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.245{col 34}    1.245
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.245{col 34}    1.245
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    54096{col 34}    33779
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02832{col 33} .01222{col 43}2.3175{col 52}0.020{col 60} .004368{col 73} .052265
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00895{col 33} .01222{col 43}-0.7322{col 52}0.464{col 60}-.032895{col 73} .015001
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00895{col 33} .01638{col 43}-0.5463{col 52}0.585{col 60}-.041043{col 73} .023149
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-30Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   106034{col 34}    48509{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30275{col 34}    14920{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.223{col 34}    1.223
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.223{col 34}    1.223
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    55140{col 34}    32735
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03538{col 33} .01254{col 43}2.8218{col 52}0.005{col 60} .010805{col 73}  .05995
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00375{col 33} .01254{col 43}0.2989{col 52}0.765{col 60}-.020825{col 73}  .02832
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00375{col 33}  .0175{col 43}0.2142{col 52}0.830{col 60}-.030543{col 73} .038037
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-20Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   107630{col 34}    46913{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26058{col 34}    13440{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.133{col 34}    1.133
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.133{col 34}    1.133
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56196{col 34}    31679
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04009{col 33} .01294{col 43}3.0974{col 52}0.002{col 60} .014722{col 73} .065458
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00825{col 33} .01294{col 43}0.6372{col 52}0.524{col 60}-.017121{col 73} .033615
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00825{col 33} .01989{col 43}0.4146{col 52}0.678{col 60}-.030736{col 73}  .04723
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-10Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21670{col 34}    12731{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.055{col 34}    1.055
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.055{col 34}    1.055
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00812{col 33} .01391{col 43}0.5836{col 52}0.560{col 60}-.019149{col 73} .035387
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  -.024{col 33} .01391{col 43}-1.7248{col 52}0.085{col 60}-.051265{col 73} .003271
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  -.024{col 33}  .0201{col 43}-1.1940{col 52}0.232{col 60} -.06339{col 73} .015396
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake0Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   109477{col 34}    45066{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18083{col 34}    12252{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.995{col 34}    0.995
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.995{col 34}    0.995
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    57656{col 34}    30219
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00054{col 33} .01496{col 43}0.0362{col 52}0.971{col 60}-.028785{col 73} .029868
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00895{col 33} .01496{col 43}-0.5985{col 52}0.550{col 60}-.038281{col 73} .020372
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00895{col 33} .01848{col 43}-0.4844{col 52}0.628{col 60}-.045183{col 73} .027274
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake10Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   110873{col 34}    43670{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17925{col 34}    12252{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.036{col 34}    1.036
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.036{col 34}    1.036
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    58622{col 34}    29253
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01018{col 33}  .0144{col 43}0.7072{col 52}0.479{col 60}-.018041{col 73}  .03841
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02416{col 33}  .0144{col 43}1.6776{col 52}0.093{col 60}-.004067{col 73} .052384
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02416{col 33} .01716{col 43}1.4083{col 52}0.159{col 60}-.009464{col 73} .057782
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake20Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   112241{col 34}    42302{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14864{col 34}    11088{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.956{col 34}    0.956
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.956{col 34}    0.956
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    59497{col 34}    28378
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      439{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00701{col 33} .01326{col 43}0.5288{col 52}0.597{col 60}-.018977{col 73} .032999
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00573{col 33} .01326{col 43}0.4324{col 52}0.665{col 60}-.020254{col 73} .031722
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00573{col 33} .01739{col 43}0.3296{col 52}0.742{col 60}-.028359{col 73} .039827
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake30Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113524{col 34}    41019{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12652{col 34}    10140{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.890{col 34}    0.890
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.890{col 34}    0.890
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    60308{col 34}    27567
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      428{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00742{col 33} .01334{col 43}-0.5566{col 52}0.578{col 60}-.033564{col 73} .018718
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02553{col 33} .01334{col 43}-1.9144{col 52}0.056{col 60}-.051674{col 73} .000608
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02553{col 33} .01931{col 43}-1.3221{col 52}0.186{col 60}-.063385{col 73} .012318
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake40Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114800{col 34}    39743{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13125{col 34}    10316{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.950{col 34}    0.950
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.950{col 34}    0.950
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    61134{col 34}    26741
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      431{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0212{col 33}  .0128{col 43}-1.6563{col 52}0.098{col 60}-.046276{col 73} .003886
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00858{col 33}  .0128{col 43}0.6707{col 52}0.502{col 60}-.016499{col 73} .033663
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00858{col 33} .01891{col 43}0.4539{col 52}0.650{col 60}-.028472{col 73} .045637
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake50Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   116071{col 34}    38472{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10933{col 34}     9082{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.855{col 34}    0.855
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.855{col 34}    0.855
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    61905{col 34}    25970
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      436{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03112{col 33}  .0134{col 43}-2.3217{col 52}0.020{col 60}-.057388{col 73}-.004849
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01196{col 33}  .0134{col 43}-0.8923{col 52}0.372{col 60}-.038229{col 73}  .01431
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01196{col 33} .01942{col 43}-0.6159{col 52}0.538{col 60} -.05002{col 73} .026101
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake60Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   117297{col 34}    37246{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10284{col 34}     8602{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.838{col 34}    0.838
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.838{col 34}    0.838
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    62677{col 34}    25198
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      441{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01873{col 33} .01396{col 43}-1.3414{col 52}0.180{col 60} -.04609{col 73} .008636
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00132{col 33} .01396{col 43}0.0948{col 52}0.925{col 60} -.02604{col 73} .028686
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00132{col 33} .02006{col 43}0.0660{col 52}0.947{col 60}-.037988{col 73} .040634
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake70Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   118448{col 34}    36095{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10061{col 34}     8298{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.841{col 34}    0.841
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.841{col 34}    0.841
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    63367{col 34}    24508
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00154{col 33} .01428{col 43}0.1078{col 52}0.914{col 60}-.026457{col 73} .029537
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02886{col 33} .01428{col 43}2.0204{col 52}0.043{col 60} .000863{col 73} .056857
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02886{col 33} .02096{col 43}1.3767{col 52}0.169{col 60}-.012227{col 73} .069947
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake80Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   119606{col 34}    34937{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10636{col 34}     7950{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.839{col 34}    0.839
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.839{col 34}    0.839
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    64072{col 34}    23803
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02163{col 33} .01436{col 43}-1.5066{col 52}0.132{col 60}-.049769{col 73} .006508
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00312{col 33} .01436{col 43}0.2171{col 52}0.828{col 60}-.025021{col 73} .031256
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00312{col 33}  .0205{col 43}0.1521{col 52}0.879{col 60}-.037062{col 73} .043296
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake90Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   120706{col 34}    33837{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10784{col 34}     7877{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.870{col 34}    0.870
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.870{col 34}    0.870
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    64757{col 34}    23118
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0122{col 33} .01432{col 43}-0.8516{col 52}0.394{col 60}-.040264{col 73} .015873
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00394{col 33} .01432{col 43}0.2749{col 52}0.783{col 60}-.024131{col 73} .032006
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00394{col 33} .02069{col 43}0.1903{col 52}0.849{col 60}-.036615{col 73}  .04449
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake100Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   121768{col 34}    32775{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10856{col 34}     7684{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.896{col 34}    0.896
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.896{col 34}    0.896
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    65429{col 34}    22446
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00827{col 33} .01436{col 43}-0.5757{col 52}0.565{col 60}-.036415{col 73} .019879
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01502{col 33} .01436{col 43}-1.0457{col 52}0.296{col 60}-.043164{col 73} .013131
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01502{col 33} .02197{col 43}-0.6834{col 52}0.494{col 60}-.058082{col 73} .028048
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake110Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122747{col 34}    31796{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10813{col 34}     7559{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.921{col 34}    0.921
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.921{col 34}    0.921
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    66056{col 34}    21819
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0045{col 33} .01447{col 43}0.3109{col 52}0.756{col 60}-.023868{col 73} .032869
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01528{col 33} .01447{col 43}-1.0553{col 52}0.291{col 60}-.043644{col 73} .013094
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01528{col 33} .02147{col 43}-0.7116{col 52}0.477{col 60}-.057346{col 73} .026796
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake120Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   123757{col 34}    30786{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11442{col 34}     7702{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.994{col 34}    0.994
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.994{col 34}    0.994
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    66661{col 34}    21214
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03962{col 33} .01439{col 43}2.7528{col 52}0.006{col 60} .011412{col 73} .067834
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0699{col 33} .01439{col 43}4.8560{col 52}0.000{col 60} .041685{col 73} .098108
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0699{col 33} .02076{col 43}3.3666{col 52}0.001{col 60} .029205{col 73} .110588
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake130Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   124638{col 34}    29905{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11262{col 34}     7528{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.010{col 34}    1.010
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.010{col 34}    1.010
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67222{col 34}    20653
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01989{col 33} .01483{col 43}1.3414{col 52}0.180{col 60}-.009174{col 73} .048957
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02341{col 33} .01483{col 43}1.5788{col 52}0.114{col 60}-.005653{col 73} .052478
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02341{col 33} .02046{col 43}1.1445{col 52}0.252{col 60}-.016682{col 73} .063507
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake140Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125567{col 34}    28976{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11475{col 34}     7432{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.058{col 34}    1.058
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.058{col 34}    1.058
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67799{col 34}    20076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00491{col 33} .01485{col 43}0.3306{col 52}0.741{col 60}-.024204{col 73} .034026
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02296{col 33} .01485{col 43}-1.5453{col 52}0.122{col 60}-.052071{col 73}  .00616
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02296{col 33} .02119{col 43}-1.0833{col 52}0.279{col 60}-.064489{col 73} .018578
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake150Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   126431{col 34}    28112{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11200{col 34}     7180{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.068{col 34}    1.068
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.068{col 34}    1.068
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    68326{col 34}    19549
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00174{col 33} .01488{col 43}-0.1167{col 52}0.907{col 60}-.030905{col 73}  .02743
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02253{col 33} .01488{col 43}-1.5140{col 52}0.130{col 60}-.051699{col 73} .006636
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02253{col 33}  .0213{col 43}-1.0580{col 52}0.290{col 60}-.064273{col 73}  .01921
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake160Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   127249{col 34}    27294{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11416{col 34}     7170{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.117{col 34}    1.117
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.117{col 34}    1.117
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    68806{col 34}    19069
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00134{col 33}  .0143{col 43}-0.0940{col 52}0.925{col 60}-.029374{col 73} .026685
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02029{col 33}  .0143{col 43}-1.4188{col 52}0.156{col 60} -.04832{col 73} .007739
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02029{col 33} .02109{col 43}-0.9621{col 52}0.336{col 60}-.061624{col 73} .021044
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake170Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   128060{col 34}    26483{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12124{col 34}     7323{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.210{col 34}    1.210
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.210{col 34}    1.210
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    69289{col 34}    18586
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00618{col 33} .01446{col 43}0.4274{col 52}0.669{col 60}-.022157{col 73} .034517
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00363{col 33} .01446{col 43}0.2511{col 52}0.802{col 60}-.024706{col 73} .031968
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00363{col 33} .02135{col 43}0.1701{col 52}0.865{col 60}-.038218{col 73}  .04548
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake180Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   128807{col 34}    25736{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11912{col 34}     7158{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.233{col 34}    1.233
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.233{col 34}    1.233
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    69778{col 34}    18097
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00304{col 33} .01442{col 43}-0.2108{col 52}0.833{col 60}-.031306{col 73} .025227
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0117{col 33} .01442{col 43}-0.8115{col 52}0.417{col 60} -.03997{col 73} .016563
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0117{col 33} .02159{col 43}-0.5420{col 52}0.588{col 60}-.054027{col 73}  .03062
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake190Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   129465{col 34}    25078{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11458{col 34}     6971{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.239{col 34}    1.239
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.239{col 34}    1.239
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70198{col 34}    17677
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00397{col 33} .01457{col 43}0.2723{col 52}0.785{col 60}-.024588{col 73} .032522
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00887{col 33} .01457{col 43}-0.6085{col 52}0.543{col 60}-.037421{col 73} .019689
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00887{col 33} .02175{col 43}-0.4076{col 52}0.684{col 60}-.051495{col 73} .033764
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake200Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   130153{col 34}    24390{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11742{col 34}     6985{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.303{col 34}    1.303
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.303{col 34}    1.303
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70642{col 34}    17233
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00884{col 33} .01436{col 43}-0.6154{col 52}0.538{col 60}-.036987{col 73} .019311
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00388{col 33} .01436{col 43}-0.2699{col 52}0.787{col 60}-.032025{col 73} .024273
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00388{col 33} .02135{col 43}-0.1815{col 52}0.856{col 60}-.045726{col 73} .037974
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake210Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   130872{col 34}    23671{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12638{col 34}     7124{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.419{col 34}    1.419
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.419{col 34}    1.419
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71099{col 34}    16776
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01623{col 33} .01408{col 43}-1.1525{col 52}0.249{col 60}-.043831{col 73} .011371
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00212{col 33} .01408{col 43}-0.1504{col 52}0.880{col 60} -.02972{col 73} .025483
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00212{col 33}  .0205{col 43}-0.1033{col 52}0.918{col 60}-.042296{col 73} .038059
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake220Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   131498{col 34}    23045{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12483{col 34}     6986{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.453{col 34}    1.453
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.453{col 34}    1.453
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71492{col 34}    16383
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0271{col 33} .01428{col 43}-1.8972{col 52}0.058{col 60}-.055088{col 73} .000896
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02976{col 33} .01428{col 43}-2.0840{col 52}0.037{col 60}-.057756{col 73}-.001772
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02976{col 33} .02115{col 43}-1.4070{col 52}0.159{col 60}-.071225{col 73} .011697
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake230Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   132091{col 34}    22452{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13405{col 34}     7152{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.580{col 34}    1.580
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.580{col 34}    1.580
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71882{col 34}    15993
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02179{col 33} .01398{col 43}-1.5594{col 52}0.119{col 60}-.049188{col 73} .005598
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02712{col 33} .01398{col 43}-1.9406{col 52}0.052{col 60}-.054514{col 73} .000271
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02712{col 33} .02064{col 43}-1.3141{col 52}0.189{col 60}-.067573{col 73}  .01333
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake240Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   132658{col 34}    21885{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13362{col 34}     7058{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.626{col 34}    1.626
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.626{col 34}    1.626
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72239{col 34}    15636
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00607{col 33}  .0141{col 43}-0.4304{col 52}0.667{col 60}-.033699{col 73} .021563
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00548{col 33}  .0141{col 43}-0.3886{col 52}0.698{col 60}-.033109{col 73} .022153
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00548{col 33} .02084{col 43}-0.2629{col 52}0.793{col 60}-.046315{col 73}  .03536
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake250Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   133240{col 34}    21303{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13056{col 34}     6869{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.648{col 34}    1.648
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.648{col 34}    1.648
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72598{col 34}    15277
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02103{col 33} .01453{col 43}-1.4469{col 52}0.148{col 60}-.049516{col 73} .007456
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02976{col 33} .01453{col 43}-2.0476{col 52}0.041{col 60}-.058246{col 73}-.001274
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02976{col 33} .02081{col 43}-1.4299{col 52}0.153{col 60}-.070551{col 73} .011032
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake260Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   133787{col 34}    20756{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14163{col 34}     7042{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.799{col 34}    1.799
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.799{col 34}    1.799
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72967{col 34}    14908
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0091{col 33}   .014{col 43}-0.6505{col 52}0.515{col 60}-.036535{col 73} .018327
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01604{col 33}   .014{col 43}-1.1461{col 52}0.252{col 60}-.043471{col 73} .011391
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01604{col 33} .02028{col 43}-0.7908{col 52}0.429{col 60}-.055796{col 73} .023715
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake270Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   134324{col 34}    20219{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16157{col 34}     7364{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.024{col 34}    2.024
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.024{col 34}    2.024
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73307{col 34}    14568
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00814{col 33} .01357{col 43}0.5995{col 52}0.549{col 60}-.018467{col 73}  .03474
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00739{col 33} .01357{col 43}0.5447{col 52}0.586{col 60} -.01921{col 73} .033997
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00739{col 33} .01976{col 43}0.3742{col 52}0.708{col 60}-.031331{col 73} .046118
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake280Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   134826{col 34}    19717{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16329{col 34}     7273{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.096{col 34}    2.096
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.096{col 34}    2.096
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73627{col 34}    14248
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-6.0e-05{col 33} .01376{col 43}-0.0044{col 52}0.997{col 60}-.027031{col 73} .026911
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02277{col 33} .01376{col 43}-1.6545{col 52}0.098{col 60}-.049738{col 73} .004204
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02277{col 33}  .0198{col 43}-1.1498{col 52}0.250{col 60}-.061575{col 73} .016041
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake290Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   135335{col 34}    19208{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18027{col 34}     7475{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.299{col 34}    2.299
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.299{col 34}    2.299
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73943{col 34}    13932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00604{col 33} .01367{col 43}0.4420{col 52}0.658{col 60}-.020746{col 73} .032828
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00021{col 33} .01367{col 43}0.0152{col 52}0.988{col 60}-.026579{col 73} .026995
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00021{col 33} .01938{col 43}0.0108{col 52}0.991{col 60}-.037766{col 73} .038183
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake300Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Finland.dta{rm}
saved
{p_end}

{com}. 
. preserve        
{txt}
{com}.         
. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}.         
. levelsof country, local(election)
{res}{txt}`"Brazil"' `"Colombia"' `"Denmark"' `"Finland"'

{com}.         foreach x of local election {c -(}
{txt}  2{com}.                 use "fake-300`x'.dta", clear
{txt}  3{com}.                 forvalues i=-290(10)300 {c -(}
{txt}  4{com}.                 append using fake`i'`x'.dta
{txt}  5{com}.                 {c )-}       
{txt}  6{com}. 
. duplicates drop cutoff parm, force
{txt}  7{com}. 
. twoway (rline min95 max95 cutoff if parm=="Conventional", plotregion(lcolor(black)) ylabel(,format(%9.2f)) lpattern(dash) lcolor(gray) xlabel(-3(1)3, format(%9.0f)) subtitle("Conventional, p = 1, CER", position(11)) legend(off) xtitle("Cutoff") ytitle(Estimated effect)  graphregion(color(white))  xline(0, lcolor(cranberry)) yline(0, lcolor(black) lwidth(vthin))) (scatter estimate cutoff if parm=="Conventional", connect(direct) lcolor(black) msymbol(none))
{txt}  8{com}. graph save "$dir/temp/fakecutoff1_`x'1b.gph", replace
{txt}  9{com}. twoway (rline min95 max95 cutoff if parm=="Robust", plotregion(lcolor(black)) ylabel(,format(%9.2f)) lpattern(dash) lcolor(gray) xlabel(-3(1)3, format(%9.0f)) subtitle("Robust, p = 1, CER", position(11)) legend(off) xtitle("Cutoff") ytitle(Estimated effect)  graphregion(color(white))  xline(0, lcolor(cranberry)) yline(0, lcolor(black) lwidth(vthin))) (scatter estimate cutoff if parm=="Robust", connect(direct) lcolor(black) msymbol(none))
{txt} 10{com}. graph save "$dir/temp/fakecutoff2_`x'1b.gph", replace
{txt} 11{com}.         {c )-}

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Brazil1b.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Brazil1b.gph} saved
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Brazil1b.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Brazil1b.gph} saved

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Colombia1b.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Colombia1b.gph} saved
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Colombia1b.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Colombia1b.gph} saved

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Denmark1b.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Denmark1b.gph} saved
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Denmark1b.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Denmark1b.gph} saved

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Finland1b.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Finland1b.gph} saved
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Finland1b.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Finland1b.gph} saved

{com}. restore
{txt}
{com}. 
. est clear
{txt}
{com}. 
. // p = 2, MSE-optimal bandwidths
. 
. levelsof country, local(election)
{res}{txt}`"Brazil"' `"Colombia"' `"Denmark"' `"Finland"'

{com}.                 foreach x of local election {c -(}
{txt}  2{com}.                 preserve
{txt}  3{com}.                 forvalues i=-300(10)300 {c -(}
{txt}  4{com}.                         local k = `i'/100
{txt}  5{com}.                         rdrobust runningnextelection rv if rv!=0 & country=="`x'", all p(2) rho(1) c(`k') vce(cluster constituency) kernel(uniform) bwselect(mserd)
{txt}  6{com}.                         parmest, saving("fake`i'`x'.dta", replace)
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}. 
.                 forvalues i=-300(10)300 {c -(}
{txt}  9{com}. 
.                         use fake`i'`x'.dta, clear
{txt} 10{com}.                         gen cutoff =`i'/100
{txt} 11{com}.                         save, replace
{txt} 12{com}.                         sleep 500
{txt} 13{com}.                 {c )-}
{txt} 14{com}.                 restore
{txt} 15{com}.         {c )-}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   417254{col 34}   179006{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   166997{col 34}   109319{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.434{col 34}    5.434
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.434{col 34}    5.434
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   282598{col 34}   131787
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5559

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03202{col 33}  .0067{col 43}-4.7788{col 52}0.000{col 60}-.045159{col 73} -.01889
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02858{col 33}  .0067{col 43}4.2654{col 52}0.000{col 60}  .01545{col 73} .041719
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02858{col 33}  .0081{col 43}3.5283{col 52}0.000{col 60} .012706{col 73} .044463
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-300Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   419929{col 34}   176331{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   151681{col 34}   101513{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.986{col 34}    4.986
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.986{col 34}    4.986
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   284414{col 34}   129971
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5559

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02611{col 33} .00696{col 43}-3.7536{col 52}0.000{col 60} -.03975{col 73}-.012479
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03427{col 33} .00696{col 43}4.9266{col 52}0.000{col 60} .020639{col 73}  .04791
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03427{col 33} .00833{col 43}4.1164{col 52}0.000{col 60} .017955{col 73} .050593
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-290Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   422470{col 34}   173790{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   166963{col 34}   107400{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.469{col 34}    5.469
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.469{col 34}    5.469
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   286147{col 34}   128238
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5559

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04255{col 33} .00676{col 43}-6.2986{col 52}0.000{col 60}-.055791{col 73} -.02931
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0147{col 33} .00676{col 43}2.1756{col 52}0.030{col 60} .001457{col 73} .027938
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0147{col 33} .00812{col 43}1.8105{col 52}0.070{col 60}-.001213{col 73} .030608
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-280Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   425024{col 34}   171236{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   164795{col 34}   105637{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.428{col 34}    5.428
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.428{col 34}    5.428
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   287869{col 34}   126516
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5559

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04385{col 33} .00681{col 43}-6.4422{col 52}0.000{col 60}-.057193{col 73} -.03051
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0105{col 33} .00681{col 43}1.5425{col 52}0.123{col 60}-.002842{col 73} .023841
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0105{col 33} .00812{col 43}1.2924{col 52}0.196{col 60}-.005424{col 73} .026423
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-270Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   427590{col 34}   168670{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   152417{col 34}    99510{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.073{col 34}    5.073
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.073{col 34}    5.073
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   289607{col 34}   124778
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5559

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04908{col 33} .00704{col 43}-6.9697{col 52}0.000{col 60}-.062879{col 73}-.035276
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00823{col 33} .00704{col 43}1.1695{col 52}0.242{col 60}-.005566{col 73} .022036
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00823{col 33} .00844{col 43}0.9761{col 52}0.329{col 60}  -.0083{col 73}  .02477
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-260Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   429942{col 34}   166318{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   132274{col 34}    90061{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.495{col 34}    4.495
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.495{col 34}    4.495
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   291259{col 34}   123126
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5560{col 34}     5558

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04462{col 33} .00733{col 43}-6.0878{col 52}0.000{col 60}-.058981{col 73}-.030252
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01186{col 33} .00733{col 43}1.6188{col 52}0.105{col 60}  -.0025{col 73} .026229
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01186{col 33}   .009{col 43}1.3181{col 52}0.187{col 60}-.005777{col 73} .029506
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-250Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   432367{col 34}   163893{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   117547{col 34}    82323{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.066{col 34}    4.066
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.066{col 34}    4.066
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   292951{col 34}   121434
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5559{col 34}     5558

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03815{col 33} .00764{col 43}-4.9914{col 52}0.000{col 60}-.053124{col 73}-.023167
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01651{col 33} .00764{col 43}2.1599{col 52}0.031{col 60} .001528{col 73} .031485
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01651{col 33} .00939{col 43}1.7585{col 52}0.079{col 60}-.001891{col 73} .034905
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-240Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   434827{col 34}   161433{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   110497{col 34}    78301{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.869{col 34}    3.869
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.869{col 34}    3.869
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   294623{col 34}   119762
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5557

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03606{col 33}  .0079{col 43}-4.5660{col 52}0.000{col 60}-.051543{col 73}-.020583
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02569{col 33}  .0079{col 43}3.2524{col 52}0.001{col 60} .010208{col 73} .041168
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02569{col 33} .00972{col 43}2.6434{col 52}0.008{col 60} .006641{col 73} .044735
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-230Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   437158{col 34}   159102{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    99071{col 34}    72108{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.541{col 34}    3.541
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.541{col 34}    3.541
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   296222{col 34}   118163
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5555

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03492{col 33} .00818{col 43}-4.2691{col 52}0.000{col 60}-.050955{col 73}-.018889
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01801{col 33} .00818{col 43}2.2021{col 52}0.028{col 60} .001981{col 73} .034047
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01801{col 33} .01021{col 43}1.7644{col 52}0.078{col 60}-.001996{col 73} .038024
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-220Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   439473{col 34}   156787{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    89826{col 34}    66844{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.273{col 34}    3.273
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.273{col 34}    3.273
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   297810{col 34}   116575
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5556{col 34}     5550

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03503{col 33} .00862{col 43}-4.0638{col 52}0.000{col 60}-.051931{col 73}-.018137
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01757{col 33} .00862{col 43}2.0375{col 52}0.042{col 60} .000668{col 73} .034462
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01757{col 33} .01061{col 43}1.6554{col 52}0.098{col 60}-.003232{col 73} .038362
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-210Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   441746{col 34}   154514{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    86909{col 34}    65261{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.212{col 34}    3.212
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.212{col 34}    3.212
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   299412{col 34}   114973
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5556{col 34}     5550

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03827{col 33}  .0088{col 43}-4.3482{col 52}0.000{col 60}-.055515{col 73}-.021018
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01253{col 33}  .0088{col 43}1.4235{col 52}0.155{col 60}-.004721{col 73} .029776
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01253{col 33} .01082{col 43}1.1574{col 52}0.247{col 60}-.008687{col 73} .033743
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-200Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   444204{col 34}   152056{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    83728{col 34}    63045{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.127{col 34}    3.127
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.127{col 34}    3.127
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   301070{col 34}   113315
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5556{col 34}     5539

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03669{col 33} .00918{col 43}-3.9972{col 52}0.000{col 60}-.054679{col 73}-.018699
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01166{col 33} .00918{col 43}1.2700{col 52}0.204{col 60}-.006333{col 73} .029647
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01166{col 33} .01137{col 43}1.0253{col 52}0.305{col 60}-.010626{col 73} .033941
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-190Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   446600{col 34}   149660{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    82731{col 34}    62171{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.114{col 34}    3.114
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.114{col 34}    3.114
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   302667{col 34}   111718
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5532

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03597{col 33} .00933{col 43}-3.8570{col 52}0.000{col 60}-.054256{col 73}-.017694
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0144{col 33} .00933{col 43}1.5442{col 52}0.123{col 60}-.003878{col 73} .032684
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0144{col 33} .01182{col 43}1.2187{col 52}0.223{col 60} -.00876{col 73} .037565
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-180Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   449030{col 34}   147230{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    80678{col 34}    60726{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.068{col 34}    3.068
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.068{col 34}    3.068
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   304324{col 34}   110061
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5556{col 34}     5523

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03347{col 33} .00934{col 43}-3.5833{col 52}0.000{col 60}-.051773{col 73}-.015162
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0209{col 33} .00934{col 43}2.2377{col 52}0.025{col 60} .002594{col 73} .039206
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0209{col 33} .01191{col 43}1.7552{col 52}0.079{col 60}-.002438{col 73} .044239
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-170Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   451305{col 34}   144955{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    81746{col 34}    61113{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.128{col 34}    3.128
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.128{col 34}    3.128
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   305923{col 34}   108462
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5556{col 34}     5508

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02296{col 33} .00928{col 43}-2.4729{col 52}0.013{col 60}-.041157{col 73}-.004762
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03065{col 33} .00928{col 43}3.3012{col 52}0.001{col 60} .012452{col 73} .048847
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03065{col 33} .01192{col 43}2.5722{col 52}0.010{col 60} .007295{col 73} .054005
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-160Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   453634{col 34}   142626{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    79430{col 34}    59473{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.068{col 34}    3.068
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.068{col 34}    3.068
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   307533{col 34}   106852
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5503

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02766{col 33} .00936{col 43}-2.9559{col 52}0.003{col 60}-.045998{col 73}-.009319
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02298{col 33} .00936{col 43}2.4563{col 52}0.014{col 60} .004644{col 73} .041323
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02298{col 33} .01185{col 43}1.9400{col 52}0.052{col 60}-.000237{col 73} .046203
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-150Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   455997{col 34}   140263{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    77324{col 34}    57855{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.013{col 34}    3.013
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.013{col 34}    3.013
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   309168{col 34}   105217
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5511

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02795{col 33} .00935{col 43}-2.9911{col 52}0.003{col 60}-.046268{col 73}-.009636
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0134{col 33} .00935{col 43}1.4339{col 52}0.152{col 60}-.004916{col 73} .031716
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0134{col 33} .01186{col 43}1.1294{col 52}0.259{col 60}-.009855{col 73} .036654
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-140Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   458277{col 34}   137983{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    74932{col 34}    56143{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.950{col 34}    2.950
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.950{col 34}    2.950
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   310746{col 34}   103639
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5555{col 34}     5514

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03037{col 33} .00927{col 43}-3.2768{col 52}0.001{col 60}-.048537{col 73}-.012205
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00147{col 33} .00927{col 43}0.1590{col 52}0.874{col 60}-.016693{col 73} .019639
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00147{col 33} .01174{col 43}0.1255{col 52}0.900{col 60}-.021543{col 73}  .02449
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-130Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   460455{col 34}   135805{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    75262{col 34}    56156{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.986{col 34}    2.986
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.986{col 34}    2.986
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   312256{col 34}   102129
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5555{col 34}     5531

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02598{col 33} .00903{col 43}-2.8784{col 52}0.004{col 60}-.043666{col 73}-.008289
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00253{col 33} .00903{col 43}0.2806{col 52}0.779{col 60}-.015156{col 73} .020222
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00253{col 33} .01145{col 43}0.2211{col 52}0.825{col 60}-.019915{col 73} .024981
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-120Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   462704{col 34}   133556{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    75613{col 34}    56170{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.021{col 34}    3.021
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.021{col 34}    3.021
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   313770{col 34}   100615
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5554{col 34}     5540

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02492{col 33} .00887{col 43}-2.8090{col 52}0.005{col 60} -.04231{col 73}-.007533
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01296{col 33} .00887{col 43}-1.4608{col 52}0.144{col 60}-.030349{col 73} .004428
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01296{col 33}  .0113{col 43}-1.1474{col 52}0.251{col 60}-.035099{col 73} .009178
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-110Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   464822{col 34}   131438{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    78643{col 34}    57639{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.152{col 34}    3.152
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.152{col 34}    3.152
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   315242{col 34}    99143
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5553

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02231{col 33} .00874{col 43}-2.5526{col 52}0.011{col 60}-.039443{col 73} -.00518
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02528{col 33} .00874{col 43}-2.8919{col 52}0.004{col 60}-.042409{col 73}-.008146
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02528{col 33} .01104{col 43}-2.2903{col 52}0.022{col 60}-.046909{col 73}-.003646
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-100Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   466962{col 34}   129298{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    79012{col 34}    57558{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.192{col 34}    3.192
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.192{col 34}    3.192
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   316702{col 34}    97683
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5556

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01654{col 33} .00858{col 43}-1.9283{col 52}0.054{col 60}-.033351{col 73} .000272
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03195{col 33} .00858{col 43}-3.7254{col 52}0.000{col 60}-.048766{col 73}-.015143
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03195{col 33} .01079{col 43}-2.9620{col 52}0.003{col 60}-.053099{col 73} -.01081
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-90Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   469107{col 34}   127153{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    81165{col 34}    58275{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.292{col 34}    3.292
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.292{col 34}    3.292
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   318169{col 34}    96216
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5557

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00714{col 33} .00845{col 43}-0.8448{col 52}0.398{col 60}-.023691{col 73} .009419
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03596{col 33} .00845{col 43}-4.2578{col 52}0.000{col 60}-.052519{col 73}-.019409
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03596{col 33} .01064{col 43}-3.3811{col 52}0.001{col 60}-.056811{col 73}-.015117
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-80Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   471184{col 34}   125076{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    83635{col 34}    59186{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.406{col 34}    3.406
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.406{col 34}    3.406
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   319643{col 34}    94742
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5559{col 34}     5558

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00143{col 33} .00828{col 43}-0.1724{col 52}0.863{col 60}-.017663{col 73} .014807
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04881{col 33} .00828{col 43}-5.8925{col 52}0.000{col 60}-.065045{col 73}-.032575
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04881{col 33} .01053{col 43}-4.6347{col 52}0.000{col 60}-.069451{col 73}-.028168
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-70Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   473355{col 34}   122905{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    85602{col 34}    59712{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.499{col 34}    3.499
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.499{col 34}    3.499
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   321154{col 34}    93231
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5559{col 34}     5558

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00588{col 33} .00806{col 43}0.7299{col 52}0.465{col 60}-.009915{col 73} .021681
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05208{col 33} .00806{col 43}-6.4614{col 52}0.000{col 60}-.067877{col 73}-.036282
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05208{col 33} .01051{col 43}-4.9557{col 52}0.000{col 60}-.072677{col 73}-.031482
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-60Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   475449{col 34}   120811{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    95185{col 34}    63398{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.855{col 34}    3.855
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.855{col 34}    3.855
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   322586{col 34}    91799
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5559

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03166{col 33} .00777{col 43}4.0740{col 52}0.000{col 60} .016431{col 73} .046898
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02685{col 33} .00777{col 43}-3.4546{col 52}0.001{col 60}-.042084{col 73}-.011617
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02685{col 33} .01002{col 43}-2.6804{col 52}0.007{col 60}-.046484{col 73}-.007217
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-50Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   477537{col 34}   118723{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   110371{col 34}    68561{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.406{col 34}    4.406
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.406{col 34}    4.406
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   324054{col 34}    90331
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5561

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .06191{col 33} .00738{col 43}8.3833{col 52}0.000{col 60} .047434{col 73} .076381
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00823{col 33} .00738{col 43}1.1150{col 52}0.265{col 60} -.00624{col 73} .022708
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00823{col 33} .00943{col 43}0.8729{col 52}0.383{col 60}-.010253{col 73} .026722
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-40Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   479583{col 34}   116677{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   137799{col 34}    76258{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.324{col 34}    5.324
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.324{col 34}    5.324
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   325497{col 34}    88888
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .09303{col 33} .00684{col 43}13.6051{col 52}0.000{col 60} .079631{col 73} .106436
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05711{col 33} .00684{col 43}8.3512{col 52}0.000{col 60} .043704{col 73}  .07051
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05711{col 33} .00877{col 43}6.5133{col 52}0.000{col 60} .039922{col 73} .074292
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-30Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   481621{col 34}   114639{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   156376{col 34}    79905{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.942{col 34}    5.942
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.942{col 34}    5.942
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   326948{col 34}    87437
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .1057{col 33} .00652{col 43}16.2206{col 52}0.000{col 60} .092931{col 73} .118475
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08624{col 33} .00652{col 43}13.2343{col 52}0.000{col 60}  .07347{col 73} .099015
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08624{col 33} .00833{col 43}10.3545{col 52}0.000{col 60} .069918{col 73} .102567
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-20Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   483631{col 34}   112629{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   176603{col 34}    83158{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.608{col 34}    6.608
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.608{col 34}    6.608
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   328447{col 34}    85938
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11583{col 33} .00617{col 43}18.7632{col 52}0.000{col 60} .103731{col 73} .127929
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .10529{col 33} .00617{col 43}17.0565{col 52}0.000{col 60} .093195{col 73} .117394
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .10529{col 33} .00784{col 43}13.4325{col 52}0.000{col 60} .089931{col 73} .120658
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-10Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   177424{col 34}    82947{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.692{col 34}    6.692
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.692{col 34}    6.692
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5563{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11775{col 33} .00611{col 43}19.2667{col 52}0.000{col 60} .105771{col 73} .129727
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .11148{col 33} .00611{col 43}18.2412{col 52}0.000{col 60} .099503{col 73}  .12346
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .11148{col 33} .00777{col 43}14.3552{col 52}0.000{col 60} .096261{col 73} .126702
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake0Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   486336{col 34}   109924{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   157390{col 34}    78657{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.126{col 34}    6.126
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.126{col 34}    6.126
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   330780{col 34}    83605
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .09633{col 33} .00629{col 43}15.3032{col 52}0.000{col 60} .083988{col 73} .108662
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08424{col 33} .00629{col 43}13.3837{col 52}0.000{col 60} .071906{col 73}  .09658
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08424{col 33} .00807{col 43}10.4361{col 52}0.000{col 60} .068422{col 73} .100064
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake10Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   488275{col 34}   107985{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   151245{col 34}    76385{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.973{col 34}    5.973
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.973{col 34}    5.973
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   332243{col 34}    82142
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .07949{col 33} .00626{col 43}12.6923{col 52}0.000{col 60} .067212{col 73}  .09176
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05731{col 33} .00626{col 43}9.1519{col 52}0.000{col 60}  .04504{col 73} .069589
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05731{col 33} .00802{col 43}7.1421{col 52}0.000{col 60} .041586{col 73} .073043
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake20Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   490255{col 34}   106005{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   130868{col 34}    70707{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.364{col 34}    5.364
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.364{col 34}    5.364
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   333651{col 34}    80734
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04956{col 33} .00645{col 43}7.6800{col 52}0.000{col 60} .036909{col 73} .062203
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00977{col 33} .00645{col 43}1.5139{col 52}0.130{col 60}-.002878{col 73} .022416
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00977{col 33} .00833{col 43}1.1721{col 52}0.241{col 60}-.006567{col 73} .026104
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake30Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   492206{col 34}   104054{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   120321{col 34}    67068{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.049{col 34}    5.049
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.049{col 34}    5.049
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   335040{col 34}    79345
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02436{col 33} .00662{col 43}3.6805{col 52}0.000{col 60} .011389{col 73} .037336
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02046{col 33} .00662{col 43}-3.0905{col 52}0.002{col 60}-.033431{col 73}-.007484
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02046{col 33} .00866{col 43}-2.3629{col 52}0.018{col 60}-.037426{col 73}-.003489
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake40Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   494096{col 34}   102164{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   117620{col 34}    65535{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.990{col 34}    4.990
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.990{col 34}    4.990
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   336371{col 34}    78014
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01163{col 33} .00661{col 43}1.7597{col 52}0.078{col 60}-.001323{col 73} .024582
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02672{col 33} .00661{col 43}-4.0435{col 52}0.000{col 60}-.039674{col 73}-.013769
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02672{col 33} .00866{col 43}-3.0856{col 52}0.002{col 60}-.043695{col 73}-.009748
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake50Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   495991{col 34}   100269{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   114287{col 34}    63756{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.905{col 34}    4.905
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.905{col 34}    4.905
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   337696{col 34}    76689
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00643{col 33} .00669{col 43}-0.9611{col 52}0.337{col 60}-.019545{col 73} .006684
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04063{col 33} .00669{col 43}-6.0716{col 52}0.000{col 60}-.053741{col 73}-.027512
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04063{col 33} .00875{col 43}-4.6418{col 52}0.000{col 60}-.057781{col 73}-.023472
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake60Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   497829{col 34}    98431{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   115721{col 34}    63329{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.991{col 34}    4.991
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.991{col 34}    4.991
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   339000{col 34}    75385
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02385{col 33} .00667{col 43}-3.5753{col 52}0.000{col 60}-.036924{col 73}-.010775
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05702{col 33} .00667{col 43}-8.5478{col 52}0.000{col 60}-.070094{col 73}-.043945
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05702{col 33} .00873{col 43}-6.5342{col 52}0.000{col 60}-.074123{col 73}-.039916
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake70Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   499578{col 34}    96682{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   111824{col 34}    61650{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.899{col 34}    4.899
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.899{col 34}    4.899
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   340269{col 34}    74116
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02889{col 33} .00678{col 43}-4.2597{col 52}0.000{col 60}-.042184{col 73}-.015598
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04786{col 33} .00678{col 43}-7.0565{col 52}0.000{col 60}-.061153{col 73}-.034567
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04786{col 33} .00881{col 43}-5.4306{col 52}0.000{col 60}-.065133{col 73}-.030587
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake80Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   501425{col 34}    94835{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   109349{col 34}    60113{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.844{col 34}    4.844
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.844{col 34}    4.844
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   341545{col 34}    72840
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04171{col 33} .00684{col 43}-6.1024{col 52}0.000{col 60}-.055109{col 73}-.028315
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05633{col 33} .00684{col 43}-8.2403{col 52}0.000{col 60}-.069722{col 73}-.042928
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05633{col 33} .00878{col 43}-6.4139{col 52}0.000{col 60}-.073537{col 73}-.039113
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake90Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   503229{col 34}    93031{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   117084{col 34}    61285{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.154{col 34}    5.154
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.154{col 34}    5.154
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   342819{col 34}    71566
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04911{col 33} .00667{col 43}-7.3632{col 52}0.000{col 60}-.062179{col 73}-.036036
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05691{col 33} .00667{col 43}-8.5325{col 52}0.000{col 60}-.069977{col 73}-.043834
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05691{col 33} .00862{col 43}-6.5978{col 52}0.000{col 60} -.07381{col 73}-.040001
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake100Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   505005{col 34}    91255{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   115101{col 34}    59946{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.121{col 34}    5.121
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.121{col 34}    5.121
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   344062{col 34}    70323
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06084{col 33} .00672{col 43}-9.0561{col 52}0.000{col 60}-.074003{col 73} -.04767
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06266{col 33} .00672{col 43}-9.3276{col 52}0.000{col 60}-.075827{col 73}-.049494
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06266{col 33} .00865{col 43}-7.2400{col 52}0.000{col 60}-.079623{col 73}-.045697
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake110Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   506825{col 34}    89435{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   131884{col 34}    62567{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.743{col 34}    5.743
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.743{col 34}    5.743
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   345321{col 34}    69064
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04755{col 33} .00638{col 43}-7.4506{col 52}0.000{col 60}-.060062{col 73}-.035044
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05047{col 33} .00638{col 43}-7.9076{col 52}0.000{col 60} -.06298{col 73}-.037961
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05047{col 33} .00826{col 43}-6.1132{col 52}0.000{col 60}-.066652{col 73}-.034289
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake120Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   508527{col 34}    87733{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   143392{col 34}    63682{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.172{col 34}    6.172
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.172{col 34}    6.172
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   346533{col 34}    67852
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04973{col 33} .00621{col 43}-8.0084{col 52}0.000{col 60}-.061903{col 73}-.037561
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04623{col 33} .00621{col 43}-7.4440{col 52}0.000{col 60}-.058398{col 73}-.034056
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04623{col 33} .00801{col 43}-5.7684{col 52}0.000{col 60}-.061934{col 73} -.03052
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake130Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   510275{col 34}    85985{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   147883{col 34}    63319{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.363{col 34}    6.363
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.363{col 34}    6.363
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   347755{col 34}    66630
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05769{col 33} .00617{col 43}-9.3513{col 52}0.000{col 60}-.069786{col 73}-.045602
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04912{col 33} .00617{col 43}-7.9623{col 52}0.000{col 60}-.061217{col 73}-.037032
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04912{col 33}   .008{col 43}-6.1432{col 52}0.000{col 60}-.064797{col 73}-.033451
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake140Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   511964{col 34}    84296{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   152323{col 34}    62946{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.556{col 34}    6.556
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.556{col 34}    6.556
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   348926{col 34}    65459
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06272{col 33} .00615{col 43}-10.1923{col 52}0.000{col 60}-.074775{col 73}-.050655
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05292{col 33} .00615{col 43}-8.6000{col 52}0.000{col 60}-.064977{col 73}-.040857
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05292{col 33} .00792{col 43}-6.6785{col 52}0.000{col 60}-.068447{col 73}-.037388
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake150Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   513656{col 34}    82604{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   155417{col 34}    62301{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.702{col 34}    6.702
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.702{col 34}    6.702
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   350122{col 34}    64263
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06489{col 33} .00612{col 43}-10.5954{col 52}0.000{col 60}-.076894{col 73}-.052887
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04859{col 33} .00612{col 43}-7.9336{col 52}0.000{col 60}-.060592{col 73}-.036585
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04859{col 33} .00789{col 43}-6.1595{col 52}0.000{col 60}-.064049{col 73}-.033128
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake160Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   515238{col 34}    81022{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   160269{col 34}    61959{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.907{col 34}    6.907
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.907{col 34}    6.907
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   351247{col 34}    63138
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07332{col 33} .00604{col 43}-12.1367{col 52}0.000{col 60}-.085158{col 73}-.061478
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0573{col 33} .00604{col 43}-9.4851{col 52}0.000{col 60} -.06914{col 73} -.04546
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0573{col 33} .00782{col 43}-7.3243{col 52}0.000{col 60}-.072633{col 73}-.041967
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake170Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   516852{col 34}    79408{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   158380{col 34}    60651{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.893{col 34}    6.893
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.893{col 34}    6.893
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   352391{col 34}    61994
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07161{col 33} .00608{col 43}-11.7792{col 52}0.000{col 60}-.083524{col 73}-.059694
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05123{col 33} .00608{col 43}-8.4276{col 52}0.000{col 60}-.063149{col 73}-.039319
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05123{col 33} .00787{col 43}-6.5062{col 52}0.000{col 60}-.066668{col 73}  -.0358
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake180Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   518523{col 34}    77737{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   164741{col 34}    60255{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.146{col 34}    7.146
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.146{col 34}    7.146
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   353556{col 34}    60829
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07582{col 33} .00603{col 43}-12.5798{col 52}0.000{col 60}-.087638{col 73}-.064011
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05392{col 33} .00603{col 43}-8.9450{col 52}0.000{col 60}-.065729{col 73}-.042102
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05392{col 33} .00785{col 43}-6.8652{col 52}0.000{col 60}-.069308{col 73}-.038523
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake190Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   520067{col 34}    76193{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   167468{col 34}    59525{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.281{col 34}    7.281
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.281{col 34}    7.281
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   354678{col 34}    59707
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07789{col 33} .00601{col 43}-12.9625{col 52}0.000{col 60}-.089662{col 73}-.066109
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04766{col 33} .00601{col 43}-7.9321{col 52}0.000{col 60}-.059437{col 73}-.035884
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04766{col 33} .00784{col 43}-6.0808{col 52}0.000{col 60}-.063022{col 73}-.032298
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake200Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   521636{col 34}    74624{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   155333{col 34}    57103{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.935{col 34}    6.935
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.935{col 34}    6.935
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   355822{col 34}    58563
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07461{col 33} .00619{col 43}-12.0595{col 52}0.000{col 60}-.086735{col 73}-.062484
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03807{col 33} .00619{col 43}-6.1542{col 52}0.000{col 60}-.050201{col 73}-.025949
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03807{col 33} .00803{col 43}-4.7433{col 52}0.000{col 60}-.053808{col 73}-.022342
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake210Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   523189{col 34}    73071{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   170847{col 34}    57716{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.489{col 34}    7.489
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.489{col 34}    7.489
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   356908{col 34}    57477
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07919{col 33} .00608{col 43}-13.0330{col 52}0.000{col 60}-.091102{col 73}-.067284
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04145{col 33} .00608{col 43}-6.8217{col 52}0.000{col 60} -.05336{col 73}-.029541
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04145{col 33} .00794{col 43}-5.2194{col 52}0.000{col 60}-.057016{col 73}-.025885
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake220Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   524629{col 34}    71631{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   156458{col 34}    55267{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.075{col 34}    7.075
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.075{col 34}    7.075
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   357947{col 34}    56438
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07418{col 33} .00624{col 43}-11.8880{col 52}0.000{col 60} -.08641{col 73} -.06195
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02075{col 33} .00624{col 43}-3.3255{col 52}0.001{col 60}-.032981{col 73}-.008521
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02075{col 33} .00815{col 43}-2.5476{col 52}0.011{col 60}-.036715{col 73}-.004787
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake230Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   526075{col 34}    70185{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   151739{col 34}    53791{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.964{col 34}    6.964
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.964{col 34}    6.964
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   358976{col 34}    55409
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07001{col 33} .00634{col 43}-11.0479{col 52}0.000{col 60}-.082433{col 73}-.057592
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00765{col 33} .00634{col 43}-1.2079{col 52}0.227{col 60}-.020076{col 73} .004766
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00765{col 33} .00824{col 43}-0.9290{col 52}0.353{col 60}-.023805{col 73} .008495
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake240Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   527475{col 34}    68785{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   150353{col 34}    52706{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.968{col 34}    6.968
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.968{col 34}    6.968
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   359987{col 34}    54398
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06925{col 33} .00637{col 43}-10.8740{col 52}0.000{col 60}-.081732{col 73}-.056768
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00289{col 33} .00637{col 43}-0.4541{col 52}0.650{col 60}-.015374{col 73}  .00959
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00289{col 33} .00823{col 43}-0.3514{col 52}0.725{col 60} -.01902{col 73} .013237
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake250Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   528901{col 34}    67359{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   141767{col 34}    50824{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.720{col 34}    6.720
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.720{col 34}    6.720
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   360999{col 34}    53386
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06463{col 33} .00656{col 43}-9.8466{col 52}0.000{col 60}-.077499{col 73}-.051768
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00914{col 33} .00656{col 43}1.3920{col 52}0.164{col 60}-.003728{col 73} .022002
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00914{col 33} .00845{col 43}1.0813{col 52}0.280{col 60}-.007424{col 73} .025698
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake260Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   530293{col 34}    65967{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   140467{col 34}    49747{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.724{col 34}    6.724
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.724{col 34}    6.724
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   361974{col 34}    52411
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06205{col 33} .00667{col 43}-9.2974{col 52}0.000{col 60}-.075129{col 73}-.048969
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01397{col 33} .00667{col 43}2.0926{col 52}0.036{col 60} .000885{col 73} .027046
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01397{col 33} .00859{col 43}1.6264{col 52}0.104{col 60}-.002864{col 73} .030795
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake270Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   531718{col 34}    64542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   141509{col 34}    48922{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.810{col 34}    6.810
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.810{col 34}    6.810
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   362987{col 34}    51398
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05749{col 33} .00671{col 43}-8.5641{col 52}0.000{col 60}-.070643{col 73} -.04433
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0187{col 33} .00671{col 43}2.7858{col 52}0.005{col 60} .005543{col 73} .031856
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0187{col 33} .00866{col 43}2.1596{col 52}0.031{col 60} .001729{col 73}  .03567
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake280Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   533073{col 34}    63187{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   133101{col 34}    47062{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.556{col 34}    6.556
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.556{col 34}    6.556
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   363951{col 34}    50434
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04841{col 33} .00683{col 43}-7.0827{col 52}0.000{col 60}-.061805{col 73}-.035013
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0337{col 33} .00683{col 43}4.9311{col 52}0.000{col 60} .020307{col 73} .047099
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0337{col 33} .00882{col 43}3.8225{col 52}0.000{col 60} .016422{col 73} .050984
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake290Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   534417{col 34}    61843{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   114650{col 34}    43872{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.905{col 34}    5.905
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.905{col 34}    5.905
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   364917{col 34}    49468
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5559{col 34}     5561

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02791{col 33}  .0072{col 43}-3.8794{col 52}0.000{col 60}-.042015{col 73} -.01381
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04075{col 33}  .0072{col 43}5.6629{col 52}0.000{col 60} .026643{col 73} .054847
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04075{col 33} .00936{col 43}4.3536{col 52}0.000{col 60} .022402{col 73} .059088
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake300Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    95473{col 34}    52098{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    42011{col 34}    34151{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.625{col 34}    6.625
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.625{col 34}    6.625
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    69612{col 34}    42042
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05959{col 33} .01134{col 43}-5.2545{col 52}0.000{col 60}-.081822{col 73}-.037364
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01379{col 33} .01134{col 43}1.2162{col 52}0.224{col 60}-.008435{col 73} .036022
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01379{col 33} .01401{col 43}0.9846{col 52}0.325{col 60}-.013665{col 73} .041252
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-300Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    96131{col 34}    51440{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    40856{col 34}    33021{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.385{col 34}    6.385
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.385{col 34}    6.385
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70108{col 34}    41546
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0576{col 33} .01155{col 43}-4.9867{col 52}0.000{col 60}-.080233{col 73}-.034958
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01337{col 33} .01155{col 43}1.1574{col 52}0.247{col 60} -.00927{col 73} .036004
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01337{col 33} .01436{col 43}0.9312{col 52}0.352{col 60}-.014768{col 73} .041503
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-290Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    96776{col 34}    50795{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    39058{col 34}    31556{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.048{col 34}    6.048
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.048{col 34}    6.048
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70588{col 34}    41066
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1098

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05685{col 33} .01165{col 43}-4.8786{col 52}0.000{col 60}-.079694{col 73}-.034012
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00696{col 33} .01165{col 43}0.5971{col 52}0.550{col 60}-.015882{col 73} .029799
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00696{col 33} .01445{col 43}0.4814{col 52}0.630{col 60}-.021373{col 73}  .03529
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-280Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    97440{col 34}    50131{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36249{col 34}    29468{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.570{col 34}    5.570
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.570{col 34}    5.570
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71061{col 34}    40593
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1096

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06033{col 33}  .0119{col 43}-5.0692{col 52}0.000{col 60}-.083657{col 73}-.037004
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00148{col 33}  .0119{col 43}0.1246{col 52}0.901{col 60}-.021844{col 73} .024809
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00148{col 33} .01486{col 43}0.0998{col 52}0.921{col 60}-.027649{col 73} .030615
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-270Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    98102{col 34}    49469{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    34429{col 34}    28003{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.252{col 34}    5.252
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.252{col 34}    5.252
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71543{col 34}    40111
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1096

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06131{col 33} .01234{col 43}-4.9670{col 52}0.000{col 60}-.085501{col 73}-.037116
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0085{col 33} .01234{col 43}0.6883{col 52}0.491{col 60}-.015696{col 73} .032688
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0085{col 33} .01529{col 43}0.5557{col 52}0.578{col 60}-.021469{col 73} .038461
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-260Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    98772{col 34}    48799{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    32273{col 34}    26194{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.872{col 34}    4.872
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.872{col 34}    4.872
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72057{col 34}    39597
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1096

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06377{col 33} .01256{col 43}-5.0768{col 52}0.000{col 60}-.088393{col 73}-.039153
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00429{col 33} .01256{col 43}0.3419{col 52}0.732{col 60}-.020326{col 73} .028915
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00429{col 33} .01572{col 43}0.2732{col 52}0.785{col 60}-.026512{col 73} .035101
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-250Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    99427{col 34}    48144{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    32045{col 34}    25789{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.834{col 34}    4.834
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.834{col 34}    4.834
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72545{col 34}    39109
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1096

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05852{col 33}  .0128{col 43}-4.5706{col 52}0.000{col 60}-.083622{col 73}-.033428
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01613{col 33}  .0128{col 43}1.2595{col 52}0.208{col 60}-.008969{col 73} .041225
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01613{col 33} .01614{col 43}0.9993{col 52}0.318{col 60}-.015504{col 73}  .04776
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-240Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   100081{col 34}    47490{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30616{col 34}    24591{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.601{col 34}    4.601
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.601{col 34}    4.601
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73046{col 34}    38608
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1095

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05267{col 33} .01315{col 43}-4.0069{col 52}0.000{col 60}-.078436{col 73}-.026908
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02208{col 33} .01315{col 43}1.6794{col 52}0.093{col 60}-.003688{col 73}  .04784
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02208{col 33} .01652{col 43}1.3361{col 52}0.182{col 60}-.010309{col 73}  .05446
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-230Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   100716{col 34}    46855{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    29526{col 34}    23702{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.438{col 34}    4.438
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.438{col 34}    4.438
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73522{col 34}    38132
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1094

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04779{col 33} .01361{col 43}-3.5125{col 52}0.000{col 60}-.074461{col 73}-.021124
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03349{col 33} .01361{col 43}2.4612{col 52}0.014{col 60} .006821{col 73} .060158
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03349{col 33} .01693{col 43}1.9777{col 52}0.048{col 60} .000301{col 73} .066678
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-220Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   101388{col 34}    46183{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28953{col 34}    23073{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.347{col 34}    4.347
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.347{col 34}    4.347
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    74028{col 34}    37626
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1095

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04343{col 33} .01368{col 43}-3.1743{col 52}0.002{col 60}-.070251{col 73}-.016615
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04147{col 33} .01368{col 43}3.0312{col 52}0.002{col 60} .014657{col 73} .068293
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04147{col 33} .01727{col 43}2.4020{col 52}0.016{col 60} .007633{col 73} .075317
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-210Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   102052{col 34}    45519{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28343{col 34}    22425{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.251{col 34}    4.251
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.251{col 34}    4.251
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    74519{col 34}    37135
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1095

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04561{col 33} .01392{col 43}-3.2759{col 52}0.001{col 60}-.072898{col 73}-.018321
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03558{col 33} .01392{col 43}2.5555{col 52}0.011{col 60} .008292{col 73} .062869
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03558{col 33} .01736{col 43}2.0499{col 52}0.040{col 60} .001561{col 73}   .0696
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-200Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   102726{col 34}    44845{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27949{col 34}    21888{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.188{col 34}    4.188
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.188{col 34}    4.188
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    75032{col 34}    36622
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1095

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05239{col 33} .01437{col 43}-3.6454{col 52}0.000{col 60}-.080562{col 73}-.024224
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02682{col 33} .01437{col 43}1.8663{col 52}0.062{col 60}-.001346{col 73} .054993
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02682{col 33} .01825{col 43}1.4696{col 52}0.142{col 60} -.00895{col 73} .062597
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-190Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   103360{col 34}    44211{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26950{col 34}    21092{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.046{col 34}    4.046
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.046{col 34}    4.046
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    75510{col 34}    36144
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1094

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04967{col 33} .01451{col 43}-3.4228{col 52}0.001{col 60}-.078106{col 73}-.021227
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02486{col 33} .01451{col 43}1.7134{col 52}0.087{col 60}-.003578{col 73} .053301
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02486{col 33} .01832{col 43}1.3570{col 52}0.175{col 60}-.011048{col 73} .060771
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-180Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   103990{col 34}    43581{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26425{col 34}    20569{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.974{col 34}    3.974
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.974{col 34}    3.974
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    75995{col 34}    35659
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1095

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05985{col 33} .01455{col 43}-4.1133{col 52}0.000{col 60}-.088372{col 73}-.031333
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01927{col 33} .01455{col 43}1.3241{col 52}0.185{col 60}-.009252{col 73} .047787
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01927{col 33} .01881{col 43}1.0243{col 52}0.306{col 60}  -.0176{col 73} .056135
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-170Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   104589{col 34}    42982{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26414{col 34}    20412{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.981{col 34}    3.981
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.981{col 34}    3.981
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    76452{col 34}    35202
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1095

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06941{col 33} .01446{col 43}-4.7991{col 52}0.000{col 60}-.097752{col 73}-.041061
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00788{col 33} .01446{col 43}-0.5452{col 52}0.586{col 60} -.03623{col 73} .020461
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00788{col 33} .01869{col 43}-0.4218{col 52}0.673{col 60}-.044518{col 73} .028749
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-160Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   105236{col 34}    42335{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24788{col 34}    19177{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.736{col 34}    3.736
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.736{col 34}    3.736
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    76945{col 34}    34709
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1094

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0715{col 33} .01493{col 43}-4.7898{col 52}0.000{col 60}-.100759{col 73}-.042244
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00327{col 33} .01493{col 43}-0.2189{col 52}0.827{col 60}-.032526{col 73} .025989
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00327{col 33} .01923{col 43}-0.1699{col 52}0.865{col 60}-.040964{col 73} .034427
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-150Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   105825{col 34}    41746{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24939{col 34}    19142{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.773{col 34}    3.773
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.773{col 34}    3.773
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    77383{col 34}    34271
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1095

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06371{col 33} .01469{col 43}-4.3361{col 52}0.000{col 60}-.092502{col 73} -.03491
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00164{col 33} .01469{col 43}-0.1118{col 52}0.911{col 60}-.030439{col 73} .027153
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00164{col 33} .01931{col 43}-0.0851{col 52}0.932{col 60}-.039489{col 73} .036203
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-140Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   106461{col 34}    41110{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24645{col 34}    18778{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.740{col 34}    3.740
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.740{col 34}    3.740
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    77862{col 34}    33792
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1096

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06842{col 33} .01504{col 43}-4.5502{col 52}0.000{col 60}-.097888{col 73}-.038947
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01645{col 33} .01504{col 43}-1.0939{col 52}0.274{col 60}-.045918{col 73} .013023
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01645{col 33} .01933{col 43}-0.8509{col 52}0.395{col 60}-.054334{col 73} .021439
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-130Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   107035{col 34}    40536{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24601{col 34}    18665{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.747{col 34}    3.747
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.747{col 34}    3.747
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    78303{col 34}    33351
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1096

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07856{col 33} .01494{col 43}-5.2580{col 52}0.000{col 60} -.10784{col 73}-.049275
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0581{col 33} .01494{col 43}-3.8885{col 52}0.000{col 60}-.087379{col 73}-.028813
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0581{col 33}  .0196{col 43}-2.9643{col 52}0.003{col 60}-.096508{col 73}-.019684
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-120Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   107622{col 34}    39949{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24327{col 34}    18314{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.713{col 34}    3.713
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.713{col 34}    3.713
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    78742{col 34}    32912
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1096

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.08937{col 33} .01488{col 43}-6.0075{col 52}0.000{col 60}-.118534{col 73}-.060216
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.09456{col 33} .01488{col 43}-6.3558{col 52}0.000{col 60}-.123716{col 73}-.065398
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.09456{col 33} .01979{col 43}-4.7770{col 52}0.000{col 60}-.133353{col 73}-.055761
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-110Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108210{col 34}    39361{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24603{col 34}    18331{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.767{col 34}    3.767
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.767{col 34}    3.767
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    79192{col 34}    32462
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1096

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0785{col 33} .01458{col 43}-5.3851{col 52}0.000{col 60}-.107069{col 73}-.049928
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.11551{col 33} .01458{col 43}-7.9242{col 52}0.000{col 60}-.144082{col 73}-.086941
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.11551{col 33} .01933{col 43}-5.9760{col 52}0.000{col 60}-.153396{col 73}-.077627
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-100Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108812{col 34}    38759{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25591{col 34}    18691{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.925{col 34}    3.925
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.925{col 34}    3.925
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    79640{col 34}    32014
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1097

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04211{col 33}  .0144{col 43}-2.9246{col 52}0.003{col 60}-.070328{col 73}-.013889
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.07894{col 33}  .0144{col 43}-5.4824{col 52}0.000{col 60}-.107155{col 73}-.050716
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.07894{col 33} .01887{col 43}-4.1824{col 52}0.000{col 60}-.115926{col 73}-.041945
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-90Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   109420{col 34}    38151{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27151{col 34}    19342{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.174{col 34}    4.174
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.174{col 34}    4.174
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    80118{col 34}    31536
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1098

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01416{col 33} .01399{col 43}-1.0127{col 52}0.311{col 60}-.041579{col 73}  .01325
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06155{col 33} .01399{col 43}-4.4005{col 52}0.000{col 60}-.088966{col 73}-.034137
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06155{col 33} .01839{col 43}-3.3461{col 52}0.001{col 60}-.097605{col 73}-.025498
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-80Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   110015{col 34}    37556{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28457{col 34}    19788{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.379{col 34}    4.379
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.379{col 34}    4.379
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    80580{col 34}    31074
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}   .007{col 33} .01378{col 43}0.5077{col 52}0.612{col 60}-.020018{col 73} .034016
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04497{col 33} .01378{col 43}-3.2623{col 52}0.001{col 60}-.071986{col 73}-.017952
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04497{col 33} .01796{col 43}-2.5038{col 52}0.012{col 60}-.080171{col 73}-.009768
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-70Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   110590{col 34}    36981{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30719{col 34}    20600{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.721{col 34}    4.721
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.721{col 34}    4.721
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    81033{col 34}    30621
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03834{col 33} .01343{col 43}2.8547{col 52}0.004{col 60} .012018{col 73} .064668
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02462{col 33} .01343{col 43}-1.8329{col 52}0.067{col 60}-.050944{col 73} .001707
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02462{col 33} .01721{col 43}-1.4304{col 52}0.153{col 60}-.058352{col 73} .009115
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-60Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   111144{col 34}    36427{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    33515{col 34}    21628{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.160{col 34}    5.160
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.160{col 34}    5.160
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    81455{col 34}    30199
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1100

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05673{col 33} .01303{col 43}4.3545{col 52}0.000{col 60} .031193{col 73} .082257
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01312{col 33} .01303{col 43}-1.0072{col 52}0.314{col 60}-.038652{col 73} .012412
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01312{col 33} .01667{col 43}-0.7871{col 52}0.431{col 60}-.045792{col 73} .019552
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-50Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   111767{col 34}    35804{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    37721{col 34}    22862{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.804{col 34}    5.804
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.804{col 34}    5.804
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    81931{col 34}    29723
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .10064{col 33} .01256{col 43}8.0104{col 52}0.000{col 60} .076016{col 73} .125264
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03013{col 33} .01256{col 43}2.3983{col 52}0.016{col 60} .005507{col 73} .054756
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03013{col 33} .01625{col 43}1.8547{col 52}0.064{col 60} -.00171{col 73} .061973
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-40Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   112330{col 34}    35241{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    45339{col 34}    25089{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.995{col 34}    6.995
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.995{col 34}    6.995
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    82378{col 34}    29276
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .14151{col 33} .01216{col 43}11.6365{col 52}0.000{col 60} .117672{col 73}  .16534
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0958{col 33} .01216{col 43}7.8778{col 52}0.000{col 60} .071964{col 73} .119632
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0958{col 33} .01516{col 43}6.3176{col 52}0.000{col 60} .066077{col 73} .125518
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-30Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   112903{col 34}    34668{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    55918{col 34}    27456{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.782{col 34}    8.782
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.782{col 34}    8.782
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    82840{col 34}    28814
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .18462{col 33}  .0113{col 43}16.3352{col 52}0.000{col 60} .162466{col 73} .206768
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .14155{col 33}  .0113{col 43}12.5245{col 52}0.000{col 60} .119398{col 73}   .1637
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .14155{col 33} .01409{col 43}10.0443{col 52}0.000{col 60} .113929{col 73}  .16917
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-20Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113472{col 34}    34099{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    62534{col 34}    28400{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    9.998{col 34}    9.998
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    9.998{col 34}    9.998
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83315{col 34}    28339
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19689{col 33} .01099{col 43}17.9089{col 52}0.000{col 60} .175342{col 73} .218438
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .1867{col 33} .01099{col 43}16.9824{col 52}0.000{col 60} .165157{col 73} .208252
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .1867{col 33} .01358{col 43}13.7502{col 52}0.000{col 60} .160092{col 73} .213317
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-10Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    60977{col 34}    27967{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    9.753{col 34}    9.753
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    9.753{col 34}    9.753
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .1994{col 33} .01103{col 43}18.0766{col 52}0.000{col 60} .177781{col 73} .221021
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .19181{col 33} .01103{col 43}17.3884{col 52}0.000{col 60} .170189{col 73} .213429
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .19181{col 33} .01371{col 43}13.9939{col 52}0.000{col 60} .164945{col 73} .218674
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake0Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114029{col 34}    33542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    58892{col 34}    27458{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    9.410{col 34}    9.410
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    9.410{col 34}    9.410
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83842{col 34}    27812
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19061{col 33} .01113{col 43}17.1259{col 52}0.000{col 60} .168799{col 73} .212428
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .17445{col 33} .01113{col 43}15.6733{col 52}0.000{col 60} .152631{col 73} .196261
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .17445{col 33} .01384{col 43}12.6083{col 52}0.000{col 60} .147328{col 73} .201564
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake10Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114566{col 34}    33005{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    55038{col 34}    26237{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.747{col 34}    8.747
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.747{col 34}    8.747
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    84292{col 34}    27362
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .15452{col 33} .01148{col 43}13.4642{col 52}0.000{col 60} .132028{col 73} .177014
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .11403{col 33} .01148{col 43}9.9358{col 52}0.000{col 60} .091534{col 73} .136521
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .11403{col 33} .01424{col 43}8.0078{col 52}0.000{col 60} .086119{col 73} .141937
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake20Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   115121{col 34}    32450{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    50281{col 34}    24804{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.947{col 34}    7.947
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.947{col 34}    7.947
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    84749{col 34}    26905
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .12324{col 33} .01177{col 43}10.4720{col 52}0.000{col 60} .100176{col 73} .146308
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .07319{col 33} .01177{col 43}6.2193{col 52}0.000{col 60} .050127{col 73} .096259
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .07319{col 33} .01484{col 43}4.9334{col 52}0.000{col 60} .044114{col 73} .102272
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake30Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   115649{col 34}    31922{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    45688{col 34}    23396{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.221{col 34}    7.221
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.221{col 34}    7.221
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    85182{col 34}    26472
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .09174{col 33} .01207{col 43}7.5998{col 52}0.000{col 60}  .06808{col 73} .115398
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0308{col 33} .01207{col 43}2.5514{col 52}0.011{col 60}  .00714{col 73} .054458
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0308{col 33} .01551{col 43}1.9859{col 52}0.047{col 60} .000403{col 73} .061195
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake40Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   116196{col 34}    31375{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    43648{col 34}    22537{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.929{col 34}    6.929
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.929{col 34}    6.929
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    85608{col 34}    26046
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .06172{col 33} .01221{col 43}5.0567{col 52}0.000{col 60} .037797{col 73} .085642
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01272{col 33} .01221{col 43}-1.0421{col 52}0.297{col 60}-.036641{col 73} .011203
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01272{col 33} .01583{col 43}-0.8034{col 52}0.422{col 60}-.043747{col 73} .018309
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake50Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   116684{col 34}    30887{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    41492{col 34}    21717{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.624{col 34}    6.624
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.624{col 34}    6.624
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    85998{col 34}    25656
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03858{col 33} .01261{col 43}3.0593{col 52}0.002{col 60} .013863{col 73} .063291
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03316{col 33} .01261{col 43}-2.6295{col 52}0.009{col 60} -.05787{col 73}-.008442
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03316{col 33} .01627{col 43}-2.0378{col 52}0.042{col 60}-.065045{col 73}-.001267
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake60Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   117194{col 34}    30377{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    40911{col 34}    21276{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.564{col 34}    6.564
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.564{col 34}    6.564
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    86403{col 34}    25251
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03156{col 33} .01297{col 43}2.4342{col 52}0.015{col 60} .006148{col 73} .056973
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02994{col 33} .01297{col 43}-2.3089{col 52}0.021{col 60} -.05535{col 73}-.004525
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02994{col 33} .01649{col 43}-1.8155{col 52}0.069{col 60}-.062257{col 73} .002383
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake70Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   117688{col 34}    29883{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    39391{col 34}    20599{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.361{col 34}    6.361
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.361{col 34}    6.361
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    86808{col 34}    24846
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01021{col 33} .01324{col 43}0.7714{col 52}0.440{col 60}-.015737{col 73} .036165
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04129{col 33} .01324{col 43}-3.1187{col 52}0.002{col 60}-.067244{col 73}-.015342
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04129{col 33} .01679{col 43}-2.4592{col 52}0.014{col 60}-.074204{col 73}-.008383
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake80Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   118235{col 34}    29336{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    39126{col 34}    20187{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.338{col 34}    6.338
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.338{col 34}    6.338
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    87247{col 34}    24407
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01485{col 33} .01332{col 43}-1.1149{col 52}0.265{col 60}-.040957{col 73} .011256
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.07247{col 33} .01332{col 43}-5.4407{col 52}0.000{col 60}-.098574{col 73}-.046362
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.07247{col 33} .01687{col 43}-4.2968{col 52}0.000{col 60}-.105524{col 73}-.039412
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake90Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   118721{col 34}    28850{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    38491{col 34}    19752{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.266{col 34}    6.266
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.266{col 34}    6.266
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    87620{col 34}    24034
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03164{col 33} .01355{col 43}-2.3353{col 52}0.020{col 60} -.05819{col 73}-.005084
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.07815{col 33} .01355{col 43}-5.7687{col 52}0.000{col 60}-.104706{col 73}  -.0516
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.07815{col 33} .01705{col 43}-4.5827{col 52}0.000{col 60}-.111578{col 73}-.044728
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake100Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   119214{col 34}    28357{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    38282{col 34}    19413{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.267{col 34}    6.267
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.267{col 34}    6.267
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    88013{col 34}    23641
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03188{col 33} .01355{col 43}-2.3534{col 52}0.019{col 60}-.058432{col 73} -.00533
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06756{col 33} .01355{col 43}-4.9875{col 52}0.000{col 60}-.094114{col 73}-.041012
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06756{col 33} .01712{col 43}-3.9460{col 52}0.000{col 60}-.101122{col 73}-.034004
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake110Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   119700{col 34}    27871{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    37419{col 34}    18938{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.172{col 34}    6.172
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.172{col 34}    6.172
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    88400{col 34}    23254
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04796{col 33} .01369{col 43}-3.5025{col 52}0.000{col 60}-.074791{col 73} -.02112
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.07789{col 33} .01369{col 43}-5.6886{col 52}0.000{col 60}-.104722{col 73}-.051051
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.07789{col 33} .01737{col 43}-4.4830{col 52}0.000{col 60}-.111938{col 73}-.043835
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake120Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   120154{col 34}    27417{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36389{col 34}    18435{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.040{col 34}    6.040
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.040{col 34}    6.040
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    88764{col 34}    22890
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06347{col 33} .01395{col 43}-4.5507{col 52}0.000{col 60}-.090799{col 73}-.036131
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0957{col 33} .01395{col 43}-6.8620{col 52}0.000{col 60}-.123032{col 73}-.068364
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0957{col 33} .01754{col 43}-5.4563{col 52}0.000{col 60}-.130074{col 73}-.061322
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake130Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   120625{col 34}    26946{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    35402{col 34}    17938{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.922{col 34}    5.922
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.922{col 34}    5.922
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    89153{col 34}    22501
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07874{col 33} .01397{col 43}-5.6350{col 52}0.000{col 60}-.106128{col 73}-.051353
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.10181{col 33} .01397{col 43}-7.2862{col 52}0.000{col 60}-.129201{col 73}-.074426
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.10181{col 33} .01765{col 43}-5.7690{col 52}0.000{col 60}-.136404{col 73}-.067223
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake140Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   121053{col 34}    26518{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    35918{col 34}    17863{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.038{col 34}    6.038
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.038{col 34}    6.038
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    89507{col 34}    22147
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07235{col 33} .01393{col 43}-5.1925{col 52}0.000{col 60}-.099657{col 73} -.04504
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.08346{col 33} .01393{col 43}-5.9898{col 52}0.000{col 60}-.110766{col 73}-.056149
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.08346{col 33}  .0176{col 43}-4.7420{col 52}0.000{col 60}-.117953{col 73}-.048963
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake150Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   121543{col 34}    26028{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    38525{col 34}    18142{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.456{col 34}    6.456
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.456{col 34}    6.456
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    89896{col 34}    21758
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07645{col 33} .01362{col 43}-5.6123{col 52}0.000{col 60} -.10315{col 73}-.049753
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.08386{col 33} .01362{col 43}-6.1562{col 52}0.000{col 60}-.110559{col 73}-.057162
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.08386{col 33} .01713{col 43}-4.8961{col 52}0.000{col 60} -.11743{col 73} -.05029
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake160Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122029{col 34}    25542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    38289{col 34}    17766{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.445{col 34}    6.445
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.445{col 34}    6.445
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    90286{col 34}    21368
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07212{col 33} .01376{col 43}-5.2397{col 52}0.000{col 60}-.099096{col 73}-.045142
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0686{col 33} .01376{col 43}-4.9837{col 52}0.000{col 60}-.095573{col 73}-.041619
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0686{col 33}  .0174{col 43}-3.9417{col 52}0.000{col 60}-.102704{col 73}-.034488
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake170Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122463{col 34}    25108{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36551{col 34}    17157{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.218{col 34}    6.218
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.218{col 34}    6.218
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    90634{col 34}    21020
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.08698{col 33} .01398{col 43}-6.2215{col 52}0.000{col 60}-.114376{col 73}-.059576
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.07817{col 33} .01398{col 43}-5.5918{col 52}0.000{col 60}-.105574{col 73}-.050773
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.07817{col 33} .01788{col 43}-4.3718{col 52}0.000{col 60} -.11322{col 73}-.043127
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake180Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122907{col 34}    24664{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36607{col 34}    16913{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.261{col 34}    6.261
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.261{col 34}    6.261
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    90994{col 34}    20660
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.08948{col 33} .01396{col 43}-6.4107{col 52}0.000{col 60} -.11684{col 73}-.062124
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06975{col 33} .01396{col 43}-4.9971{col 52}0.000{col 60}-.097109{col 73}-.042393
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06975{col 33} .01789{col 43}-3.8993{col 52}0.000{col 60} -.10481{col 73}-.034691
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake190Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   123367{col 34}    24204{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    37985{col 34}    16898{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.500{col 34}    6.500
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.500{col 34}    6.500
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    91367{col 34}    20287
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.08648{col 33} .01386{col 43}-6.2377{col 52}0.000{col 60}-.113655{col 73}-.059308
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06235{col 33} .01386{col 43}-4.4969{col 52}0.000{col 60}-.089521{col 73}-.035174
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06235{col 33} .01794{col 43}-3.4756{col 52}0.001{col 60}-.097505{col 73}-.027189
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake200Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   123805{col 34}    23766{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    37762{col 34}    16578{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.499{col 34}    6.499
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.499{col 34}    6.499
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    91716{col 34}    19938
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.08663{col 33} .01379{col 43}-6.2819{col 52}0.000{col 60}-.113652{col 73}-.059598
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04902{col 33} .01379{col 43}-3.5551{col 52}0.000{col 60}-.076051{col 73}-.021996
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04902{col 33} .01758{col 43}-2.7887{col 52}0.005{col 60}-.083478{col 73}-.014569
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake210Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   124258{col 34}    23313{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    40513{col 34}    16809{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.944{col 34}    6.944
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.944{col 34}    6.944
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    92074{col 34}    19580
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.08608{col 33} .01359{col 43}-6.3345{col 52}0.000{col 60}-.112709{col 73}-.059443
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03172{col 33} .01359{col 43}-2.3344{col 52}0.020{col 60}-.058354{col 73}-.005088
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03172{col 33} .01708{col 43}-1.8575{col 52}0.063{col 60}-.065192{col 73}  .00175
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake220Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   124667{col 34}    22904{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    41201{col 34}    16683{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.089{col 34}    7.089
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.089{col 34}    7.089
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    92395{col 34}    19259
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.08653{col 33} .01363{col 43}-6.3503{col 52}0.000{col 60}-.113235{col 73}-.059823
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02609{col 33} .01363{col 43}-1.9144{col 52}0.056{col 60}-.052792{col 73} .000621
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02609{col 33} .01709{col 43}-1.5261{col 52}0.127{col 60}-.059588{col 73} .007417
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake230Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125083{col 34}    22488{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    42705{col 34}    16638{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.355{col 34}    7.355
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.355{col 34}    7.355
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    92722{col 34}    18932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.08922{col 33} .01352{col 43}-6.5971{col 52}0.000{col 60}-.115726{col 73}-.062713
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01345{col 33} .01352{col 43}-0.9944{col 52}0.320{col 60}-.039954{col 73} .013059
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01345{col 33} .01714{col 43}-0.7848{col 52}0.433{col 60}-.047033{col 73} .020138
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake240Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125474{col 34}    22097{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    42705{col 34}    16391{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.390{col 34}    7.390
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.390{col 34}    7.390
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93032{col 34}    18622
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09103{col 33} .01349{col 43}-6.7464{col 52}0.000{col 60}-.117482{col 73}-.064587
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0076{col 33} .01349{col 43}-0.5632{col 52}0.573{col 60}-.034047{col 73} .018848
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0076{col 33} .01697{col 43}-0.4478{col 52}0.654{col 60}-.040865{col 73} .025666
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake250Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125890{col 34}    21681{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    44039{col 34}    16313{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.636{col 34}    7.636
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.636{col 34}    7.636
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93347{col 34}    18307
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09079{col 33} .01353{col 43}-6.7103{col 52}0.000{col 60} -.11731{col 73}-.064273
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00077{col 33} .01353{col 43}0.0567{col 52}0.955{col 60}-.025752{col 73} .027285
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00077{col 33}  .0169{col 43}0.0454{col 52}0.964{col 60} -.03235{col 73} .033883
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake260Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   126285{col 34}    21286{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    43052{col 34}    15907{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.523{col 34}    7.523
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.523{col 34}    7.523
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93658{col 34}    17996
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09688{col 33} .01378{col 43}-7.0316{col 52}0.000{col 60}-.123885{col 73}-.069877
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00817{col 33} .01378{col 43}-0.5930{col 52}0.553{col 60}-.035174{col 73} .018834
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00817{col 33} .01702{col 43}-0.4800{col 52}0.631{col 60}-.041529{col 73} .025188
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake270Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   126643{col 34}    20928{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    41201{col 34}    15412{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.291{col 34}    7.291
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.291{col 34}    7.291
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93937{col 34}    17717
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09577{col 33} .01396{col 43}-6.8585{col 52}0.000{col 60}-.123133{col 73}-.068399
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00456{col 33} .01396{col 43}-0.3262{col 52}0.744{col 60}-.031923{col 73} .022812
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00456{col 33} .01732{col 43}-0.2630{col 52}0.793{col 60}-.038499{col 73} .029388
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake280Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   127014{col 34}    20557{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    42667{col 34}    15381{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.552{col 34}    7.552
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.552{col 34}    7.552
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    94240{col 34}    17414
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09533{col 33} .01378{col 43}-6.9173{col 52}0.000{col 60}-.122337{col 73}-.068317
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00131{col 33} .01378{col 43}-0.0947{col 52}0.925{col 60}-.028315{col 73} .025705
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00131{col 33} .01698{col 43}-0.0769{col 52}0.939{col 60}-.034585{col 73} .031975
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake290Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   127399{col 34}    20172{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    43087{col 34}    15167{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.657{col 34}    7.657
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.657{col 34}    7.657
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    94552{col 34}    17102
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09822{col 33} .01393{col 43}-7.0505{col 52}0.000{col 60}-.125519{col 73}-.070913
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-8.8e-05{col 33} .01393{col 43}-0.0063{col 52}0.995{col 60}-.027391{col 73} .027216
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-8.8e-05{col 33}  .0173{col 43}-0.0051{col 52}0.996{col 60}-.033997{col 73} .033822
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake300Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Colombia.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     4848{col 34}     7785{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1770{col 34}     6399{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.236{col 34}    7.236
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.236{col 34}    7.236
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       96{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.18304{col 33} .03644{col 43}-5.0236{col 52}0.000{col 60} -.25445{col 73}-.111626
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00766{col 33} .03644{col 43}0.2102{col 52}0.834{col 60}-.063754{col 73}  .07907
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00766{col 33} .04516{col 43}0.1696{col 52}0.865{col 60}-.080862{col 73} .096179
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-300Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     4901{col 34}     7732{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1764{col 34}     6315{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.926{col 34}    6.926
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.926{col 34}    6.926
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       96{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.17367{col 33} .03514{col 43}-4.9415{col 52}0.000{col 60}-.242549{col 73}-.104785
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0303{col 33} .03514{col 43}0.8621{col 52}0.389{col 60}-.038583{col 73} .099182
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0303{col 33} .04483{col 43}0.6759{col 52}0.499{col 60}-.057567{col 73} .118165
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-290Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     4953{col 34}     7680{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1765{col 34}     6257{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.777{col 34}    6.777
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.777{col 34}    6.777
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.17978{col 33} .03272{col 43}-5.4939{col 52}0.000{col 60}-.243918{col 73}-.115643
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0085{col 33} .03272{col 43}0.2598{col 52}0.795{col 60}-.055636{col 73} .072639
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0085{col 33} .04177{col 43}0.2035{col 52}0.839{col 60}-.073364{col 73} .090367
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-280Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5019{col 34}     7614{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1808{col 34}     6205{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.763{col 34}    6.763
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.763{col 34}    6.763
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       94{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.17511{col 33} .03099{col 43}-5.6496{col 52}0.000{col 60}-.235854{col 73}-.114357
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0006{col 33} .03099{col 43}0.0192{col 52}0.985{col 60}-.060152{col 73} .061345
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0006{col 33} .04165{col 43}0.0143{col 52}0.989{col 60}-.081044{col 73} .082236
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-270Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5088{col 34}     7545{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1745{col 34}     6045{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.187{col 34}    6.187
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.187{col 34}    6.187
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       94{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.15266{col 33} .03115{col 43}-4.9006{col 52}0.000{col 60}-.213709{col 73}-.091602
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04186{col 33} .03115{col 43}1.3438{col 52}0.179{col 60}-.019192{col 73} .102915
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04186{col 33} .03995{col 43}1.0477{col 52}0.295{col 60}-.036449{col 73} .120171
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-260Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5155{col 34}     7478{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1784{col 34}     5979{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.091{col 34}    6.091
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.091{col 34}    6.091
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.14438{col 33} .03197{col 43}-4.5159{col 52}0.000{col 60}-.207046{col 73}-.081718
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04956{col 33} .03197{col 43}1.5500{col 52}0.121{col 60}-.013108{col 73} .112221
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04956{col 33} .03988{col 43}1.2426{col 52}0.214{col 60}-.028609{col 73} .127721
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-250Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5219{col 34}     7414{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1759{col 34}     5842{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.697{col 34}    5.697
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.697{col 34}    5.697
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.12331{col 33}  .0321{col 43}-3.8409{col 52}0.000{col 60}-.186231{col 73}-.060385
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .06985{col 33}  .0321{col 43}2.1758{col 52}0.030{col 60} .006928{col 73} .132774
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .06985{col 33} .04001{col 43}1.7457{col 52}0.081{col 60}-.008571{col 73} .148273
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-240Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5301{col 34}     7332{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1803{col 34}     5745{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.542{col 34}    5.542
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.542{col 34}    5.542
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.1223{col 33} .03155{col 43}-3.8763{col 52}0.000{col 60}-.184134{col 73}-.060461
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04616{col 33} .03155{col 43}1.4630{col 52}0.143{col 60}-.015679{col 73} .107994
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04616{col 33} .04197{col 43}1.0998{col 52}0.271{col 60}-.036102{col 73} .128417
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-230Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5389{col 34}     7244{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1808{col 34}     5617{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.239{col 34}    5.239
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.239{col 34}    5.239
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.11267{col 33} .03097{col 43}-3.6377{col 52}0.000{col 60}-.173381{col 73}-.051967
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05044{col 33} .03097{col 43}1.6283{col 52}0.103{col 60}-.010271{col 73} .111143
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05044{col 33} .04078{col 43}1.2369{col 52}0.216{col 60}-.029484{col 73} .130355
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-220Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5488{col 34}     7145{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1807{col 34}     5447{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.846{col 34}    4.846
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.846{col 34}    4.846
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       94{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.10533{col 33} .03148{col 43}-3.3462{col 52}0.001{col 60}-.167032{col 73}-.043637
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08699{col 33} .03148{col 43}2.7635{col 52}0.006{col 60} .025295{col 73}  .14869
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08699{col 33} .04148{col 43}2.0974{col 52}0.036{col 60} .005699{col 73} .168286
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-210Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5594{col 34}     7039{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1860{col 34}     5316{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.643{col 34}    4.643
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.643{col 34}    4.643
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       94{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.10954{col 33}  .0314{col 43}-3.4889{col 52}0.000{col 60} -.17107{col 73}-.048001
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .06798{col 33}  .0314{col 43}2.1654{col 52}0.030{col 60}  .00645{col 73} .129519
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .06798{col 33} .03873{col 43}1.7555{col 52}0.079{col 60}-.007919{col 73} .143888
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-200Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5717{col 34}     6916{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1891{col 34}     5131{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.366{col 34}    4.366
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.366{col 34}    4.366
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       93{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.11745{col 33} .03204{col 43}-3.6653{col 52}0.000{col 60}-.180248{col 73}-.054643
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04732{col 33} .03204{col 43}1.4767{col 52}0.140{col 60}-.015486{col 73} .110119
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04732{col 33} .03862{col 43}1.2251{col 52}0.221{col 60}-.028381{col 73} .123014
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-190Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5841{col 34}     6792{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1940{col 34}     4973{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.164{col 34}    4.164
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.164{col 34}    4.164
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.14682{col 33} .03196{col 43}-4.5941{col 52}0.000{col 60}-.209463{col 73}-.084185
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01575{col 33} .03196{col 43}0.4927{col 52}0.622{col 60}-.046894{col 73} .078384
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01575{col 33} .04048{col 43}0.3890{col 52}0.697{col 60}-.063592{col 73} .095082
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-180Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5971{col 34}     6662{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1991{col 34}     4800{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.963{col 34}    3.963
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.963{col 34}    3.963
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.15442{col 33} .03189{col 43}-4.8422{col 52}0.000{col 60}-.216921{col 73}-.091914
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01017{col 33} .03189{col 43}-0.3189{col 52}0.750{col 60}-.072674{col 73} .052333
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01017{col 33}  .0398{col 43}-0.2555{col 52}0.798{col 60}-.088185{col 73} .067843
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-170Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6091{col 34}     6542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2110{col 34}     4752{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.055{col 34}    4.055
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.055{col 34}    4.055
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.17287{col 33} .03119{col 43}-5.5419{col 52}0.000{col 60}-.234012{col 73}-.111734
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06035{col 33} .03119{col 43}-1.9346{col 52}0.053{col 60}-.121488{col 73}  .00079
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06035{col 33} .03944{col 43}-1.5302{col 52}0.126{col 60}-.137648{col 73}  .01695
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-160Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6214{col 34}     6419{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2152{col 34}     4612{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.906{col 34}    3.906
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.906{col 34}    3.906
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.16747{col 33} .02867{col 43}-5.8417{col 52}0.000{col 60} -.22366{col 73}-.111283
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06997{col 33} .02867{col 43}-2.4406{col 52}0.015{col 60}-.126158{col 73} -.01378
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06997{col 33} .03566{col 43}-1.9622{col 52}0.050{col 60} -.13986{col 73}-.000078
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-150Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6374{col 34}     6259{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2243{col 34}     4440{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.769{col 34}    3.769
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.769{col 34}    3.769
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.16592{col 33} .02775{col 43}-5.9793{col 52}0.000{col 60}-.220303{col 73} -.11153
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.08875{col 33} .02775{col 43}-3.1984{col 52}0.001{col 60}-.143136{col 73}-.034364
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.08875{col 33} .03499{col 43}-2.5365{col 52}0.011{col 60}-.157328{col 73}-.020172
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-140Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6527{col 34}     6106{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2358{col 34}     4311{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.738{col 34}    3.738
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.738{col 34}    3.738
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.14591{col 33} .02802{col 43}-5.2069{col 52}0.000{col 60} -.20083{col 73}-.090986
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.08413{col 33} .02802{col 43}-3.0025{col 52}0.003{col 60}-.139057{col 73}-.029213
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.08413{col 33} .03553{col 43}-2.3681{col 52}0.018{col 60} -.15377{col 73}  -.0145
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-130Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6681{col 34}     5952{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2492{col 34}     4211{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.781{col 34}    3.781
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.781{col 34}    3.781
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.13872{col 33} .02895{col 43}-4.7926{col 52}0.000{col 60}-.195455{col 73}-.081991
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.09812{col 33} .02895{col 43}-3.3898{col 52}0.001{col 60} -.15485{col 73}-.041386
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.09812{col 33}  .0367{col 43}-2.6736{col 52}0.008{col 60}-.170046{col 73} -.02619
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-120Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6860{col 34}     5773{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2637{col 34}     4054{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.751{col 34}    3.751
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.751{col 34}    3.751
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.12015{col 33} .02844{col 43}-4.2245{col 52}0.000{col 60}  -.1759{col 73}-.064409
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.08497{col 33} .02844{col 43}-2.9875{col 52}0.003{col 60}-.140715{col 73}-.029225
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.08497{col 33} .03586{col 43}-2.3694{col 52}0.018{col 60}-.155256{col 73}-.014684
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-110Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7040{col 34}     5593{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2811{col 34}     3912{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.826{col 34}    3.826
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.826{col 34}    3.826
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.10084{col 33} .02815{col 43}-3.5821{col 52}0.000{col 60} -.15601{col 73}-.045663
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.09867{col 33} .02815{col 43}-3.5050{col 52}0.000{col 60} -.15384{col 73}-.043492
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.09867{col 33} .03518{col 43}-2.8043{col 52}0.005{col 60}-.167626{col 73}-.029706
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-100Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7234{col 34}     5399{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2995{col 34}     3749{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.873{col 34}    3.873
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.873{col 34}    3.873
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04814{col 33} .02814{col 43}-1.7109{col 52}0.087{col 60}-.103288{col 73} .007008
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06716{col 33} .02814{col 43}-2.3868{col 52}0.017{col 60}-.122306{col 73} -.01201
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06716{col 33} .03285{col 43}-2.0441{col 52}0.041{col 60} -.13155{col 73}-.002766
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-90Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7432{col 34}     5201{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3218{col 34}     3628{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.092{col 34}    4.092
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.092{col 34}    4.092
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00962{col 33} .02837{col 43}-0.3391{col 52}0.735{col 60}-.065235{col 73}  .04599
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05813{col 33} .02837{col 43}-2.0487{col 52}0.040{col 60}-.113742{col 73}-.002517
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05813{col 33} .03413{col 43}-1.7034{col 52}0.088{col 60}-.125013{col 73} .008754
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-80Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7667{col 34}     4966{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3467{col 34}     3453{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.230{col 34}    4.230
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.230{col 34}    4.230
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00163{col 33} .02731{col 43}-0.0597{col 52}0.952{col 60} -.05515{col 73}  .05189
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.07774{col 33} .02731{col 43}-2.8471{col 52}0.004{col 60}-.131264{col 73}-.024224
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.07774{col 33} .03345{col 43}-2.3245{col 52}0.020{col 60}-.143295{col 73}-.012193
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-70Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7883{col 34}     4750{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3782{col 34}     3343{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.680{col 34}    4.680
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.680{col 34}    4.680
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .07563{col 33} .02749{col 43}2.7515{col 52}0.006{col 60} .021756{col 73} .129496
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03714{col 33} .02749{col 43}-1.3512{col 52}0.177{col 60}-.091007{col 73} .016733
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03714{col 33} .03328{col 43}-1.1158{col 52}0.265{col 60}-.102371{col 73} .028098
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-60Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8073{col 34}     4560{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4137{col 34}     3276{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.370{col 34}    5.370
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.370{col 34}    5.370
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .12557{col 33} .02532{col 43}4.9583{col 52}0.000{col 60} .075932{col 73} .175203
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02809{col 33} .02532{col 43}1.1090{col 52}0.267{col 60} -.02155{col 73} .077721
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02809{col 33} .03294{col 43}0.8526{col 52}0.394{col 60}-.036479{col 73}  .09265
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-50Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8256{col 34}     4377{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4442{col 34}     3187{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.917{col 34}    5.917
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.917{col 34}    5.917
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       93{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .16593{col 33} .02368{col 43}7.0074{col 52}0.000{col 60} .119522{col 73} .212345
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .06762{col 33} .02368{col 43}2.8555{col 52}0.004{col 60} .021206{col 73}  .11403
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .06762{col 33} .03151{col 43}2.1461{col 52}0.032{col 60} .005866{col 73}  .12937
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-40Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8467{col 34}     4166{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4745{col 34}     3046{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.421{col 34}    6.421
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.421{col 34}    6.421
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       94{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .21442{col 33} .02386{col 43}8.9848{col 52}0.000{col 60} .167644{col 73} .261191
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .12148{col 33} .02386{col 43}5.0904{col 52}0.000{col 60} .074706{col 73} .168254
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .12148{col 33} .02995{col 43}4.0558{col 52}0.000{col 60} .062774{col 73} .180186
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-30Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8650{col 34}     3983{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5215{col 34}     2992{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.035{col 34}    8.035
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.035{col 34}    8.035
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       95

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .28586{col 33} .02487{col 43}11.4946{col 52}0.000{col 60} .237119{col 73} .334604
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .21572{col 33} .02487{col 43}8.6743{col 52}0.000{col 60}  .16698{col 73} .264465
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .21572{col 33} .02978{col 43}7.2435{col 52}0.000{col 60} .157352{col 73} .274093
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-20Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8814{col 34}     3819{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5375{col 34}     2838{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.100{col 34}    8.100
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.100{col 34}    8.100
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       95

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .29689{col 33} .02502{col 43}11.8656{col 52}0.000{col 60} .247846{col 73} .345926
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .23293{col 33} .02502{col 43}9.3093{col 52}0.000{col 60} .183888{col 73} .281967
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .23293{col 33} .02909{col 43}8.0077{col 52}0.000{col 60} .175916{col 73} .289939
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-10Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5529{col 34}     2684{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.158{col 34}    8.158
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.158{col 34}    8.158
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       95

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .30869{col 33}  .0251{col 43}12.3005{col 52}0.000{col 60}   .2595{col 73} .357872
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .24235{col 33}  .0251{col 43}9.6571{col 52}0.000{col 60} .193163{col 73} .291535
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .24235{col 33} .02782{col 43}8.7117{col 52}0.000{col 60} .187825{col 73} .296873
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake0Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9116{col 34}     3517{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5528{col 34}     2511{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.495{col 34}    7.495
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.495{col 34}    7.495
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       95

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .27896{col 33} .02917{col 43}9.5639{col 52}0.000{col 60} .221789{col 73} .336124
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .19408{col 33} .02917{col 43}6.6541{col 52}0.000{col 60} .136917{col 73} .251251
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .19408{col 33} .03397{col 43}5.7142{col 52}0.000{col 60} .127514{col 73} .260655
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake10Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9253{col 34}     3380{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5539{col 34}     2339{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.975{col 34}    6.975
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.975{col 34}    6.975
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       94{col 34}       95

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .25288{col 33} .02976{col 43}8.4977{col 52}0.000{col 60} .194555{col 73} .311208
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .15076{col 33} .02976{col 43}5.0662{col 52}0.000{col 60} .092438{col 73} .209091
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .15076{col 33} .03584{col 43}4.2069{col 52}0.000{col 60} .080525{col 73} .221004
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake20Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9386{col 34}     3247{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5572{col 34}     2186{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.623{col 34}    6.623
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.623{col 34}    6.623
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       93{col 34}       94

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .21208{col 33}  .0294{col 43}7.2141{col 52}0.000{col 60} .154457{col 73} .269693
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .10816{col 33}  .0294{col 43}3.6794{col 52}0.000{col 60} .050546{col 73} .165782
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .10816{col 33} .03536{col 43}3.0588{col 52}0.002{col 60} .038856{col 73} .177473
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake30Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9525{col 34}     3108{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5448{col 34}     1995{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.764{col 34}    5.764
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.764{col 34}    5.764
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11618{col 33} .03271{col 43}3.5516{col 52}0.000{col 60} .052065{col 73} .180287
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02471{col 33} .03271{col 43}-0.7554{col 52}0.450{col 60} -.08882{col 73} .039402
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02471{col 33} .04005{col 43}-0.6169{col 52}0.537{col 60}-.103208{col 73}  .05379
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake40Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9621{col 34}     3012{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5496{col 34}     1902{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.695{col 34}    5.695
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.695{col 34}    5.695
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .06869{col 33} .03385{col 43}2.0291{col 52}0.042{col 60} .002341{col 73} .135048
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.09615{col 33} .03385{col 43}-2.8402{col 52}0.005{col 60}-.162507{col 73}  -.0298
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.09615{col 33} .04171{col 43}-2.3054{col 52}0.021{col 60}-.177899{col 73}-.014408
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake50Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9719{col 34}     2914{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5464{col 34}     1773{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.309{col 34}    5.309
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.309{col 34}    5.309
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01754{col 33} .03411{col 43}0.5142{col 52}0.607{col 60}-.049319{col 73} .084405
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  -.093{col 33} .03411{col 43}-2.7261{col 52}0.006{col 60}-.159861{col 73}-.026137
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  -.093{col 33}  .0444{col 43}-2.0945{col 52}0.036{col 60}-.180023{col 73}-.005975
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake60Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9809{col 34}     2824{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5490{col 34}     1679{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.181{col 34}    5.181
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.181{col 34}    5.181
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00099{col 33} .03695{col 43}-0.0269{col 52}0.979{col 60}-.073423{col 73} .071434
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.08386{col 33} .03695{col 43}-2.2694{col 52}0.023{col 60}-.156291{col 73}-.011434
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.08386{col 33} .04762{col 43}-1.7611{col 52}0.078{col 60}-.177195{col 73} .009471
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake70Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9914{col 34}     2719{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5562{col 34}     1588{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.161{col 34}    5.161
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.161{col 34}    5.161
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05338{col 33} .03921{col 43}-1.3616{col 52}0.173{col 60}-.130226{col 73} .023459
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.14086{col 33} .03921{col 43}-3.5929{col 52}0.000{col 60}-.217707{col 73}-.064022
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.14086{col 33}  .0526{col 43}-2.6782{col 52}0.007{col 60}-.243951{col 73}-.037778
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake80Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9983{col 34}     2650{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5553{col 34}     1506{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.985{col 34}    4.985
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.985{col 34}    4.985
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07609{col 33} .03995{col 43}-1.9045{col 52}0.057{col 60}-.154403{col 73} .002217
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.13404{col 33} .03995{col 43}-3.3547{col 52}0.001{col 60}-.212347{col 73}-.055727
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.13404{col 33} .05007{col 43}-2.6772{col 52}0.007{col 60}-.232166{col 73}-.035909
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake90Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10055{col 34}     2578{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5527{col 34}     1424{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.799{col 34}    4.799
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.799{col 34}    4.799
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.13156{col 33} .04058{col 43}-3.2423{col 52}0.001{col 60}-.211085{col 73}-.052031
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.17624{col 33} .04058{col 43}-4.3435{col 52}0.000{col 60} -.25577{col 73}-.096715
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.17624{col 33} .05091{col 43}-3.4616{col 52}0.001{col 60}-.276032{col 73}-.076453
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake100Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10141{col 34}     2492{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5645{col 34}     1370{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.984{col 34}    4.984
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.984{col 34}    4.984
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.12899{col 33} .04598{col 43}-2.8055{col 52}0.005{col 60}  -.2191{col 73}-.038876
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.16358{col 33} .04598{col 43}-3.5579{col 52}0.000{col 60} -.25369{col 73}-.073465
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.16358{col 33} .05453{col 43}-2.9998{col 52}0.003{col 60}-.270453{col 73}-.056703
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake110Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10215{col 34}     2418{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5634{col 34}     1291{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.833{col 34}    4.833
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.833{col 34}    4.833
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.20949{col 33} .04853{col 43}-4.3166{col 52}0.000{col 60}-.304607{col 73}-.114369
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.22325{col 33} .04853{col 43}-4.6001{col 52}0.000{col 60}-.318369{col 73} -.12813
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.22325{col 33} .05484{col 43}-4.0707{col 52}0.000{col 60} -.33074{col 73}-.115759
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake120Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10279{col 34}     2354{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5688{col 34}     1246{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.911{col 34}    4.911
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.911{col 34}    4.911
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       93

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.19848{col 33} .04964{col 43}-3.9987{col 52}0.000{col 60}-.295766{col 73}-.101196
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.1886{col 33} .04964{col 43}-3.7997{col 52}0.000{col 60}-.285888{col 73}-.091318
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.1886{col 33} .05913{col 43}-3.1895{col 52}0.001{col 60}  -.3045{col 73}-.072707
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake130Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10337{col 34}     2296{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5697{col 34}     1192{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.853{col 34}    4.853
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.853{col 34}    4.853
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       93

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.24557{col 33} .05102{col 43}-4.8133{col 52}0.000{col 60}-.345563{col 73}-.145574
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.22704{col 33} .05102{col 43}-4.4501{col 52}0.000{col 60}-.327032{col 73}-.127042
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.22704{col 33} .06162{col 43}-3.6843{col 52}0.000{col 60}-.347817{col 73}-.106257
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake140Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10380{col 34}     2253{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5690{col 34}     1152{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.828{col 34}    4.828
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.828{col 34}    4.828
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       93

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.24219{col 33} .05117{col 43}-4.7327{col 52}0.000{col 60}-.342486{col 73} -.14189
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.19795{col 33} .05117{col 43}-3.8682{col 52}0.000{col 60}-.298247{col 73}-.097652
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.19795{col 33} .06019{col 43}-3.2889{col 52}0.001{col 60}-.315916{col 73}-.079983
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake150Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10449{col 34}     2184{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5887{col 34}     1123{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.296{col 34}    5.296
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.296{col 34}    5.296
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       94

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.20245{col 33} .05061{col 43}-3.9998{col 52}0.000{col 60} -.30165{col 73}-.103246
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.11576{col 33} .05061{col 43}-2.2872{col 52}0.022{col 60}-.214967{col 73}-.016563
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.11576{col 33} .06472{col 43}-1.7886{col 52}0.074{col 60}-.242623{col 73} .011093
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake160Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10495{col 34}     2138{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5936{col 34}     1094{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.406{col 34}    5.406
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.406{col 34}    5.406
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       95

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.17693{col 33} .05008{col 43}-3.5332{col 52}0.000{col 60}-.275077{col 73}-.078782
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.08409{col 33} .05008{col 43}-1.6792{col 52}0.093{col 60}-.182236{col 73} .014059
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.08409{col 33} .06474{col 43}-1.2989{col 52}0.194{col 60}-.210969{col 73} .042792
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake170Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10547{col 34}     2086{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5925{col 34}     1042{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.300{col 34}    5.300
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.300{col 34}    5.300
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       95

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.22408{col 33} .04983{col 43}-4.4969{col 52}0.000{col 60}-.321749{col 73}-.126418
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.10345{col 33} .04983{col 43}-2.0760{col 52}0.038{col 60}-.201113{col 73}-.005782
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.10345{col 33} .06363{col 43}-1.6259{col 52}0.104{col 60}-.228153{col 73} .021258
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake180Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10599{col 34}     2034{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6051{col 34}     1023{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.644{col 34}    5.644
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.644{col 34}    5.644
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       94

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.2455{col 33}  .0491{col 43}-4.9995{col 52}0.000{col 60}-.341741{col 73}-.149255
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.12944{col 33}  .0491{col 43}-2.6360{col 52}0.008{col 60}-.225681{col 73}-.033195
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.12944{col 33}  .0608{col 43}-2.1290{col 52}0.033{col 60}-.248601{col 73}-.010274
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake190Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10659{col 34}     1974{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6153{col 34}      985{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.856{col 34}    5.856
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.856{col 34}    5.856
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       94

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.23012{col 33} .05053{col 43}-4.5540{col 52}0.000{col 60}-.329157{col 73} -.13108
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.08918{col 33} .05053{col 43}-1.7649{col 52}0.078{col 60}-.188222{col 73} .009855
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.08918{col 33}  .0649{col 43}-1.3742{col 52}0.169{col 60}-.216387{col 73} .038019
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake200Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10695{col 34}     1938{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6142{col 34}      951{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.830{col 34}    5.830
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.830{col 34}    5.830
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       94

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.24408{col 33} .05071{col 43}-4.8135{col 52}0.000{col 60}-.343466{col 73}-.144695
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06658{col 33} .05071{col 43}-1.3130{col 52}0.189{col 60}-.165965{col 73} .032806
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06658{col 33} .06414{col 43}-1.0380{col 52}0.299{col 60}-.192295{col 73} .059136
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake210Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10739{col 34}     1894{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6191{col 34}      921{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.945{col 34}    5.945
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.945{col 34}    5.945
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       94

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.21309{col 33} .05047{col 43}-4.2221{col 52}0.000{col 60}-.312015{col 73}-.114171
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01234{col 33} .05047{col 43}-0.2444{col 52}0.807{col 60} -.11126{col 73} .086584
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01234{col 33} .06298{col 43}-0.1959{col 52}0.845{col 60}-.135773{col 73} .111098
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake220Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10789{col 34}     1844{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6316{col 34}      897{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.254{col 34}    6.254
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.254{col 34}    6.254
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       94

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.20089{col 33} .05014{col 43}-4.0066{col 52}0.000{col 60}-.299158{col 73}-.102615
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02659{col 33} .05014{col 43}-0.5304{col 52}0.596{col 60}-.124865{col 73} .071678
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02659{col 33} .06205{col 43}-0.4286{col 52}0.668{col 60}-.148202{col 73} .095015
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake230Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10821{col 34}     1812{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6257{col 34}      859{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.092{col 34}    6.092
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.092{col 34}    6.092
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       94

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.19932{col 33} .05291{col 43}-3.7672{col 52}0.000{col 60}-.303013{col 73}-.095619
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04834{col 33} .05291{col 43}0.9136{col 52}0.361{col 60}-.055359{col 73} .152036
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04834{col 33} .06476{col 43}0.7465{col 52}0.455{col 60}-.078581{col 73} .175258
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake240Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10862{col 34}     1771{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6416{col 34}      842{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.520{col 34}    6.520
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.520{col 34}    6.520
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       95

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.2141{col 33} .05322{col 43}-4.0231{col 52}0.000{col 60}-.318406{col 73}-.109796
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01618{col 33} .05322{col 43}-0.3040{col 52}0.761{col 60}-.120484{col 73} .088125
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01618{col 33} .06656{col 43}-0.2431{col 52}0.808{col 60}-.146641{col 73} .114281
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake250Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10893{col 34}     1740{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6463{col 34}      821{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.679{col 34}    6.679
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.679{col 34}    6.679
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       95

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.2239{col 33} .05589{col 43}-4.0061{col 52}0.000{col 60}-.333449{col 73} -.11436
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00715{col 33} .05589{col 43}-0.1279{col 52}0.898{col 60} -.11669{col 73} .102398
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00715{col 33} .06947{col 43}-0.1029{col 52}0.918{col 60}-.143314{col 73} .129022
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake260Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10929{col 34}     1704{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6590{col 34}      817{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.109{col 34}    7.109
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.109{col 34}    7.109
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       96

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.23232{col 33} .05539{col 43}-4.1942{col 52}0.000{col 60}-.340881{col 73}-.123757
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02884{col 33} .05539{col 43}0.5207{col 52}0.603{col 60}-.079722{col 73} .137403
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02884{col 33} .06751{col 43}0.4272{col 52}0.669{col 60} -.10348{col 73} .161161
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake270Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10946{col 34}     1687{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6459{col 34}      786{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.725{col 34}    6.725
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.725{col 34}    6.725
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       96

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.22279{col 33} .05503{col 43}-4.0486{col 52}0.000{col 60} -.33064{col 73}-.114933
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08812{col 33} .05503{col 43}1.6013{col 52}0.109{col 60}-.019735{col 73} .195973
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08812{col 33} .06496{col 43}1.3564{col 52}0.175{col 60} -.03921{col 73} .215448
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake280Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10964{col 34}     1669{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6490{col 34}      781{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.850{col 34}    6.850
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.850{col 34}    6.850
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       96

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.25423{col 33} .05653{col 43}-4.4973{col 52}0.000{col 60}-.365027{col 73}-.143435
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05705{col 33} .05653{col 43}1.0092{col 52}0.313{col 60}-.053745{col 73} .167847
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05705{col 33} .06575{col 43}0.8677{col 52}0.386{col 60}-.071822{col 73} .185924
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake290Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10992{col 34}     1641{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6654{col 34}      779{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.413{col 34}    7.413
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.413{col 34}    7.413
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       96

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.28786{col 33} .05705{col 43}-5.0455{col 52}0.000{col 60}-.399677{col 73}-.176037
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03373{col 33} .05705{col 43}0.5911{col 52}0.554{col 60}-.078094{col 73} .145545
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03373{col 33} .06641{col 43}0.5079{col 52}0.612{col 60}-.096431{col 73} .163881
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake300Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Denmark.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    42493{col 34}   112050{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27481{col 34}    90139{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.495{col 34}    5.495
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.495{col 34}    5.495
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    21313{col 34}    66562
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      438{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05283{col 33}  .0103{col 43}-5.1302{col 52}0.000{col 60}-.073011{col 73}-.032646
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0243{col 33}  .0103{col 43}2.3600{col 52}0.018{col 60} .004119{col 73} .044484
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0243{col 33} .01365{col 43}1.7808{col 52}0.075{col 60}-.002446{col 73} .051049
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-300Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    43806{col 34}   110737{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28947{col 34}    90302{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.661{col 34}    5.661
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.661{col 34}    5.661
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    21893{col 34}    65982
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      439{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06063{col 33} .00978{col 43}-6.1969{col 52}0.000{col 60}-.079812{col 73}-.041457
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01504{col 33} .00978{col 43}1.5372{col 52}0.124{col 60}-.004136{col 73} .034219
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01504{col 33} .01276{col 43}1.1789{col 52}0.238{col 60}-.009965{col 73} .040048
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-290Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    45203{col 34}   109340{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30153{col 34}    89507{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.676{col 34}    5.676
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.676{col 34}    5.676
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    22533{col 34}    65342
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      439{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06927{col 33} .00985{col 43}-7.0342{col 52}0.000{col 60} -.08857{col 73}-.049969
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00501{col 33} .00985{col 43}-0.5087{col 52}0.611{col 60} -.02431{col 73} .014291
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00501{col 33} .01263{col 43}-0.3968{col 52}0.692{col 60}-.029756{col 73} .019737
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-280Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    46706{col 34}   107837{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31016{col 34}    87216{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.422{col 34}    5.422
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.422{col 34}    5.422
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    23245{col 34}    64630
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      441{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07039{col 33} .00986{col 43}-7.1407{col 52}0.000{col 60}-.089706{col 73}-.051067
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00846{col 33} .00986{col 43}-0.8586{col 52}0.391{col 60}-.027783{col 73} .010856
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00846{col 33} .01229{col 43}-0.6885{col 52}0.491{col 60}-.032555{col 73} .015628
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-270Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    48263{col 34}   106280{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    32143{col 34}    85703{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.333{col 34}    5.333
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.333{col 34}    5.333
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    23979{col 34}    63896
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      441{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0609{col 33}  .0102{col 43}-5.9683{col 52}0.000{col 60}-.080898{col 73}  -.0409
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00069{col 33}  .0102{col 43}-0.0679{col 52}0.946{col 60}-.020692{col 73} .019306
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00069{col 33} .01225{col 43}-0.0566{col 52}0.955{col 60}-.024702{col 73} .023317
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-260Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    49858{col 34}   104685{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    32830{col 34}    83115{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.053{col 34}    5.053
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.053{col 34}    5.053
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    24722{col 34}    63153
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05745{col 33} .01034{col 43}-5.5550{col 52}0.000{col 60}-.077717{col 73}-.037179
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00148{col 33} .01034{col 43}0.1435{col 52}0.886{col 60}-.018785{col 73} .021753
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00148{col 33}  .0117{col 43}0.1269{col 52}0.899{col 60}-.021441{col 73} .024408
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-250Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    51587{col 34}   102956{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    33261{col 34}    79533{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.639{col 34}    4.639
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.639{col 34}    4.639
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    25529{col 34}    62346
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06284{col 33} .01052{col 43}-5.9747{col 52}0.000{col 60}-.083453{col 73}-.042225
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00352{col 33} .01052{col 43}-0.3351{col 52}0.738{col 60}-.024138{col 73}  .01709
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00352{col 33} .01192{col 43}-0.2957{col 52}0.767{col 60}-.026881{col 73} .019834
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-240Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    53380{col 34}   101163{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    34389{col 34}    77461{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.495{col 34}    4.495
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.495{col 34}    4.495
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    26370{col 34}    61505
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05968{col 33} .01042{col 43}-5.7264{col 52}0.000{col 60}-.080101{col 73}-.039251
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00074{col 33} .01042{col 43}0.0712{col 52}0.943{col 60}-.019683{col 73} .021168
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00074{col 33} .01224{col 43}0.0607{col 52}0.952{col 60}-.023242{col 73} .024727
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-230Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    55498{col 34}    99045{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    35973{col 34}    75472{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.415{col 34}    4.415
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.415{col 34}    4.415
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    27371{col 34}    60504
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05692{col 33} .00988{col 43}-5.7630{col 52}0.000{col 60}-.076284{col 73}-.037565
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00214{col 33} .00988{col 43}-0.2170{col 52}0.828{col 60}-.021504{col 73} .017216
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00214{col 33} .01205{col 43}-0.1779{col 52}0.859{col 60}-.025762{col 73} .021475
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-220Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    57531{col 34}    97012{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36341{col 34}    71621{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.052{col 34}    4.052
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.052{col 34}    4.052
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    28355{col 34}    59520
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05218{col 33} .00995{col 43}-5.2466{col 52}0.000{col 60}-.071679{col 73} -.03269
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00063{col 33} .00995{col 43}-0.0629{col 52}0.950{col 60}-.020121{col 73} .018869
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00063{col 33} .01238{col 43}-0.0506{col 52}0.960{col 60}-.024895{col 73} .023642
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-210Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    59815{col 34}    94728{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36677{col 34}    67073{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.657{col 34}    3.657
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.657{col 34}    3.657
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    29471{col 34}    58404
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05275{col 33} .01005{col 43}-5.2476{col 52}0.000{col 60}-.072449{col 73}-.033047
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01273{col 33} .01005{col 43}-1.2662{col 52}0.205{col 60}-.032429{col 73} .006973
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01273{col 33} .01245{col 43}-1.0225{col 52}0.307{col 60}-.037126{col 73}  .01167
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-200Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    62342{col 34}    92201{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    37897{col 34}    63722{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.454{col 34}    3.454
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.454{col 34}    3.454
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    30656{col 34}    57219
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04014{col 33} .01069{col 43}-3.7557{col 52}0.000{col 60}-.061084{col 73}-.019191
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00134{col 33} .01069{col 43}0.1252{col 52}0.900{col 60}-.019608{col 73} .022285
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00134{col 33} .01294{col 43}0.1034{col 52}0.918{col 60}-.024023{col 73}   .0267
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-190Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    64821{col 34}    89722{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    38412{col 34}    59401{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.153{col 34}    3.153
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.153{col 34}    3.153
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    31914{col 34}    55961
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04253{col 33} .01156{col 43}-3.6776{col 52}0.000{col 60}-.065188{col 73}-.019862
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00549{col 33} .01156{col 43}-0.4750{col 52}0.635{col 60}-.028156{col 73} .017171
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00549{col 33} .01326{col 43}-0.4142{col 52}0.679{col 60}-.031485{col 73} .020499
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-180Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    67525{col 34}    87018{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    39678{col 34}    56181{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.994{col 34}    2.994
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.994{col 34}    2.994
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    33283{col 34}    54592
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0384{col 33} .01182{col 43}-3.2492{col 52}0.001{col 60}-.061561{col 73}-.015236
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00106{col 33} .01182{col 43}0.0895{col 52}0.929{col 60}-.022104{col 73}  .02422
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00106{col 33}  .0131{col 43}0.0808{col 52}0.936{col 60}-.024614{col 73}  .02673
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-170Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    70501{col 34}    84042{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    41400{col 34}    53103{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.883{col 34}    2.883
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.883{col 34}    2.883
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    34770{col 34}    53105
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03222{col 33} .01224{col 43}-2.6325{col 52}0.008{col 60}-.056216{col 73}-.008233
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00182{col 33} .01224{col 43}0.1489{col 52}0.882{col 60}-.022169{col 73} .025814
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00182{col 33} .01336{col 43}0.1364{col 52}0.891{col 60}-.024354{col 73} .027999
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-160Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    73450{col 34}    81093{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    44033{col 34}    51492{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.934{col 34}    2.934
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.934{col 34}    2.934
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    36275{col 34}    51600
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02943{col 33} .01277{col 43}-2.3045{col 52}0.021{col 60}-.054467{col 73}-.004401
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01056{col 33} .01277{col 43}-0.8270{col 52}0.408{col 60}-.035596{col 73}  .01447
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01056{col 33}  .0139{col 43}-0.7598{col 52}0.447{col 60} -.03781{col 73} .016684
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-150Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    76485{col 34}    78058{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    46394{col 34}    49334{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.929{col 34}    2.929
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.929{col 34}    2.929
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    37861{col 34}    50014
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01627{col 33} .01263{col 43}-1.2885{col 52}0.198{col 60}-.041018{col 73} .008479
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00127{col 33} .01263{col 43}0.1006{col 52}0.920{col 60}-.023478{col 73} .026019
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00127{col 33} .01383{col 43}0.0919{col 52}0.927{col 60}-.025835{col 73} .028376
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-140Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    79489{col 34}    75054{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    48620{col 34}    47068{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.917{col 34}    2.917
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.917{col 34}    2.917
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    39543{col 34}    48332
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00345{col 33} .01279{col 43}-0.2700{col 52}0.787{col 60} -.02852{col 73} .021613
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0116{col 33} .01279{col 43}0.9069{col 52}0.364{col 60}-.013468{col 73} .036666
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0116{col 33} .01402{col 43}0.8276{col 52}0.408{col 60} -.01587{col 73} .039069
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-130Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    82555{col 34}    71988{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    50184{col 34}    43982{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.815{col 34}    2.815
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.815{col 34}    2.815
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    41192{col 34}    46683
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00223{col 33} .01402{col 43}-0.1594{col 52}0.873{col 60} -.02971{col 73} .025241
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00224{col 33} .01402{col 43}-0.1598{col 52}0.873{col 60}-.029715{col 73} .025235
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00224{col 33}  .0154{col 43}-0.1455{col 52}0.884{col 60}-.032417{col 73} .027938
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-120Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    85590{col 34}    68953{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    52902{col 34}    42278{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.876{col 34}    2.876
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.876{col 34}    2.876
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    42894{col 34}    44981
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00079{col 33} .01456{col 43}-0.0541{col 52}0.957{col 60}-.029316{col 73} .027741
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01659{col 33} .01456{col 43}-1.1397{col 52}0.254{col 60}-.045118{col 73}  .01194
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01659{col 33} .01724{col 43}-0.9623{col 52}0.336{col 60}-.050378{col 73}   .0172
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-110Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    88484{col 34}    66059{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    56418{col 34}    41376{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.057{col 34}    3.057
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.057{col 34}    3.057
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    44568{col 34}    43307
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00603{col 33} .01376{col 43}0.4379{col 52}0.661{col 60}-.020945{col 73} .032998
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02036{col 33} .01376{col 43}-1.4795{col 52}0.139{col 60}-.047331{col 73} .006611
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02036{col 33} .01687{col 43}-1.2070{col 52}0.227{col 60}-.053421{col 73} .012701
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-100Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    91260{col 34}    63283{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    59777{col 34}    40417{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.230{col 34}    3.230
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.230{col 34}    3.230
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    46197{col 34}    41678
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01139{col 33} .01298{col 43}0.8775{col 52}0.380{col 60}-.014053{col 73} .036837
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02757{col 33} .01298{col 43}-2.1235{col 52}0.034{col 60}-.053013{col 73}-.002123
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02757{col 33} .01657{col 43}-1.6642{col 52}0.096{col 60}-.060035{col 73}   .0049
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-90Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    93853{col 34}    60690{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    64053{col 34}    40343{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.577{col 34}    3.577
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.577{col 34}    3.577
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    47738{col 34}    40137
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03061{col 33} .01241{col 43}2.4653{col 52}0.014{col 60} .006273{col 73} .054939
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00535{col 33} .01241{col 43}-0.4310{col 52}0.666{col 60}-.029683{col 73} .018982
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00535{col 33} .01533{col 43}-0.3490{col 52}0.727{col 60}-.035396{col 73} .024695
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-80Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    96344{col 34}    58199{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    66298{col 34}    38671{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.636{col 34}    3.636
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.636{col 34}    3.636
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    49250{col 34}    38625
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0449{col 33} .01251{col 43}3.5890{col 52}0.000{col 60}  .02038{col 73} .069421
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00581{col 33} .01251{col 43}0.4643{col 52}0.642{col 60}-.018712{col 73} .030329
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00581{col 33} .01516{col 43}0.3832{col 52}0.702{col 60}-.023897{col 73} .035514
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-70Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    98551{col 34}    55992{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    70378{col 34}    38744{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.040{col 34}    4.040
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.040{col 34}    4.040
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    50578{col 34}    37297
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0599{col 33} .01277{col 43}4.6908{col 52}0.000{col 60} .034872{col 73} .084929
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01516{col 33} .01277{col 43}1.1872{col 52}0.235{col 60}-.009867{col 73} .040189
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01516{col 33} .01466{col 43}1.0345{col 52}0.301{col 60}-.013563{col 73} .043885
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-60Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   100666{col 34}    53877{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    74264{col 34}    38491{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.455{col 34}    4.455
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.455{col 34}    4.455
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    51822{col 34}    36053
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .07137{col 33} .01271{col 43}5.6134{col 52}0.000{col 60}  .04645{col 73} .096289
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0191{col 33} .01271{col 43}1.5022{col 52}0.133{col 60} -.00582{col 73} .044019
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0191{col 33} .01504{col 43}1.2703{col 52}0.204{col 60}-.010369{col 73} .048569
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-50Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   102654{col 34}    51889{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    74351{col 34}    36057{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.217{col 34}    4.217
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.217{col 34}    4.217
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    53022{col 34}    34853
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0662{col 33} .01227{col 43}5.3956{col 52}0.000{col 60}  .04215{col 73} .090242
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01398{col 33} .01227{col 43}1.1391{col 52}0.255{col 60} -.01007{col 73} .038021
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01398{col 33} .01403{col 43}0.9960{col 52}0.319{col 60}-.013527{col 73} .041478
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-40Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   104400{col 34}    50143{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    73579{col 34}    33611{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.923{col 34}    3.923
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.923{col 34}    3.923
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    54096{col 34}    33779
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05702{col 33} .01142{col 43}4.9926{col 52}0.000{col 60} .034636{col 73} .079404
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0016{col 33} .01142{col 43}0.1400{col 52}0.889{col 60}-.020785{col 73} .023984
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0016{col 33} .01334{col 43}0.1199{col 52}0.905{col 60}-.024546{col 73} .027745
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-30Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   106034{col 34}    48509{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    72806{col 34}    31494{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.707{col 34}    3.707
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.707{col 34}    3.707
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    55140{col 34}    32735
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05324{col 33}  .0118{col 43}4.5122{col 52}0.000{col 60} .030116{col 73} .076371
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00507{col 33}  .0118{col 43}0.4297{col 52}0.667{col 60}-.018057{col 73} .028197
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00507{col 33} .01404{col 43}0.3612{col 52}0.718{col 60}-.022439{col 73} .032579
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-20Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   107630{col 34}    46913{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    74306{col 34}    30638{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.794{col 34}    3.794
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.794{col 34}    3.794
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56196{col 34}    31679
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05432{col 33} .01148{col 43}4.7337{col 52}0.000{col 60}  .03183{col 73} .076812
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00992{col 33} .01148{col 43}0.8648{col 52}0.387{col 60}-.012568{col 73} .032415
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00992{col 33} .01472{col 43}0.6744{col 52}0.500{col 60}-.018917{col 73} .038765
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-10Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    71641{col 34}    28920{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.499{col 34}    3.499
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.499{col 34}    3.499
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02383{col 33}  .0112{col 43}2.1266{col 52}0.033{col 60} .001868{col 73}  .04579
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0196{col 33}  .0112{col 43}-1.7495{col 52}0.080{col 60}-.041564{col 73} .002358
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0196{col 33} .01507{col 43}-1.3007{col 52}0.193{col 60}-.049141{col 73} .009935
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake0Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   109477{col 34}    45066{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    72979{col 34}    28960{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.643{col 34}    3.643
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.643{col 34}    3.643
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    57656{col 34}    30219
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01729{col 33} .01147{col 43}1.5075{col 52}0.132{col 60}-.005191{col 73} .039778
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02404{col 33} .01147{col 43}-2.0954{col 52}0.036{col 60}-.046523{col 73}-.001553
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02404{col 33}  .0154{col 43}-1.5606{col 52}0.119{col 60}-.054228{col 73} .006152
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake10Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   110873{col 34}    43670{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    70106{col 34}    26821{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.350{col 34}    3.350
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.350{col 34}    3.350
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    58622{col 34}    29253
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00405{col 33} .01176{col 43}0.3443{col 52}0.731{col 60}-.019006{col 73} .027106
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00777{col 33} .01176{col 43}-0.6607{col 52}0.509{col 60}-.030828{col 73} .015283
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00777{col 33} .01654{col 43}-0.4699{col 52}0.638{col 60}-.040188{col 73} .024643
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake20Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   112241{col 34}    42302{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    70275{col 34}    25837{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.343{col 34}    3.343
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.343{col 34}    3.343
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    59497{col 34}    28378
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01257{col 33} .01176{col 43}-1.0690{col 52}0.285{col 60}-.035609{col 73} .010475
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02036{col 33} .01176{col 43}-1.7320{col 52}0.083{col 60}-.043404{col 73}  .00268
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02036{col 33} .01617{col 43}-1.2589{col 52}0.208{col 60}-.052064{col 73} .011339
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake30Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113524{col 34}    41019{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    70010{col 34}    24830{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.321{col 34}    3.321
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.321{col 34}    3.321
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    60308{col 34}    27567
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03603{col 33} .01239{col 43}-2.9071{col 52}0.004{col 60}-.060326{col 73} -.01174
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03797{col 33} .01239{col 43}-3.0638{col 52}0.002{col 60}-.062268{col 73}-.013682
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03797{col 33} .01575{col 43}-2.4106{col 52}0.016{col 60}-.068851{col 73}-.007099
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake40Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114800{col 34}    39743{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    70673{col 34}    24123{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.377{col 34}    3.377
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.377{col 34}    3.377
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    61134{col 34}    26741
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04572{col 33} .01233{col 43}-3.7096{col 52}0.000{col 60}-.069883{col 73}-.021566
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03504{col 33} .01233{col 43}-2.8427{col 52}0.004{col 60}-.059198{col 73}-.010881
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03504{col 33} .01511{col 43}-2.3196{col 52}0.020{col 60}-.064646{col 73}-.005432
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake50Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   116071{col 34}    38472{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    68811{col 34}    22809{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.264{col 34}    3.264
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.264{col 34}    3.264
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    61905{col 34}    25970
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06085{col 33} .01267{col 43}-4.8042{col 52}0.000{col 60}-.085675{col 73}-.036025
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04739{col 33} .01267{col 43}-3.7414{col 52}0.000{col 60}-.072212{col 73}-.022563
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04739{col 33}  .0147{col 43}-3.2227{col 52}0.001{col 60}-.076207{col 73}-.018568
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake60Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   117297{col 34}    37246{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    67489{col 34}    21723{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.205{col 34}    3.205
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.205{col 34}    3.205
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    62677{col 34}    25198
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06301{col 33}   .013{col 43}-4.8474{col 52}0.000{col 60}-.088492{col 73}-.037535
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03147{col 33}   .013{col 43}-2.4208{col 52}0.015{col 60}-.056947{col 73} -.00599
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03147{col 33} .01498{col 43}-2.1008{col 52}0.036{col 60}-.060827{col 73} -.00211
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake70Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   118448{col 34}    36095{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    68142{col 34}    21086{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.272{col 34}    3.272
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.272{col 34}    3.272
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    63367{col 34}    24508
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05669{col 33} .01327{col 43}-4.2735{col 52}0.000{col 60}-.082694{col 73}-.030691
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01076{col 33} .01327{col 43}-0.8113{col 52}0.417{col 60}-.036764{col 73} .015238
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01076{col 33} .01504{col 43}-0.7154{col 52}0.474{col 60} -.04025{col 73} .018724
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake80Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   119606{col 34}    34937{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    67367{col 34}    20237{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.265{col 34}    3.265
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.265{col 34}    3.265
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    64072{col 34}    23803
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06546{col 33} .01315{col 43}-4.9795{col 52}0.000{col 60}-.091228{col 73}-.039696
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01824{col 33} .01315{col 43}-1.3877{col 52}0.165{col 60}-.044009{col 73} .007524
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01824{col 33} .01499{col 43}-1.2174{col 52}0.223{col 60}-.047613{col 73} .011128
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake90Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   120706{col 34}    33837{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    67891{col 34}    19642{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.331{col 34}    3.331
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.331{col 34}    3.331
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    64757{col 34}    23118
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06406{col 33} .01302{col 43}-4.9188{col 52}0.000{col 60}-.089585{col 73}-.038535
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00421{col 33} .01302{col 43}-0.3231{col 52}0.747{col 60}-.029734{col 73} .021317
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00421{col 33} .01501{col 43}-0.2803{col 52}0.779{col 60}-.033634{col 73} .025217
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake100Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   121768{col 34}    32775{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    68721{col 34}    19112{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.419{col 34}    3.419
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.419{col 34}    3.419
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    65429{col 34}    22446
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06373{col 33} .01337{col 43}-4.7656{col 52}0.000{col 60}-.089934{col 73}-.037517
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00041{col 33} .01337{col 43}-0.0308{col 52}0.975{col 60} -.02662{col 73} .025796
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00041{col 33} .01488{col 43}-0.0277{col 52}0.978{col 60}-.029568{col 73} .028744
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake110Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122747{col 34}    31796{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    69946{col 34}    18683{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.532{col 34}    3.532
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.532{col 34}    3.532
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    66056{col 34}    21819
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  -.059{col 33} .01319{col 43}-4.4738{col 52}0.000{col 60}-.084843{col 73} -.03315
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01311{col 33} .01319{col 43}0.9941{col 52}0.320{col 60}-.012737{col 73} .038955
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01311{col 33} .01527{col 43}0.8585{col 52}0.391{col 60}-.016821{col 73} .043039
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake120Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   123757{col 34}    30786{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    74706{col 34}    18695{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.849{col 34}    3.849
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.849{col 34}    3.849
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    66661{col 34}    21214
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04413{col 33} .01275{col 43}-3.4624{col 52}0.001{col 60}-.069111{col 73} -.01915
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}   .055{col 33} .01275{col 43}4.3149{col 52}0.000{col 60} .030015{col 73} .079976
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}   .055{col 33}  .0151{col 43}3.6428{col 52}0.000{col 60} .025406{col 73} .084585
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake130Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   124638{col 34}    29905{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    73179{col 34}    17943{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.807{col 34}    3.807
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.807{col 34}    3.807
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67222{col 34}    20653
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04843{col 33} .01282{col 43}-3.7781{col 52}0.000{col 60}-.073548{col 73}-.023304
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0445{col 33} .01282{col 43}3.4721{col 52}0.001{col 60} .019381{col 73} .069625
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0445{col 33} .01558{col 43}2.8564{col 52}0.004{col 60} .013966{col 73}  .07504
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake140Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125567{col 34}    28976{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    75600{col 34}    17637{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.993{col 34}    3.993
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.993{col 34}    3.993
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67799{col 34}    20076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06328{col 33} .01295{col 43}-4.8854{col 52}0.000{col 60} -.08867{col 73}-.037894
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02709{col 33} .01295{col 43}2.0912{col 52}0.037{col 60}   .0017{col 73} .052475
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02709{col 33} .01539{col 43}1.7600{col 52}0.078{col 60}-.003077{col 73} .057252
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake150Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   126431{col 34}    28112{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    77627{col 34}    17326{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.164{col 34}    4.164
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.164{col 34}    4.164
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    68326{col 34}    19549
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06834{col 33} .01317{col 43}-5.1895{col 52}0.000{col 60} -.09415{col 73}-.042529
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02889{col 33} .01317{col 43}2.1935{col 52}0.028{col 60} .003075{col 73} .054696
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02889{col 33} .01492{col 43}1.9364{col 52}0.053{col 60}-.000351{col 73} .058122
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake160Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   127249{col 34}    27294{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    78863{col 34}    16964{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.292{col 34}    4.292
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.292{col 34}    4.292
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    68806{col 34}    19069
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06714{col 33} .01303{col 43}-5.1524{col 52}0.000{col 60}-.092679{col 73}  -.0416
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02712{col 33} .01303{col 43}2.0811{col 52}0.037{col 60} .001579{col 73} .052658
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02712{col 33} .01471{col 43}1.8436{col 52}0.065{col 60}-.001712{col 73} .055949
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake170Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   128060{col 34}    26483{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    82750{col 34}    16837{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.591{col 34}    4.591
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.591{col 34}    4.591
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    69289{col 34}    18586
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06692{col 33} .01329{col 43}-5.0341{col 52}0.000{col 60}-.092978{col 73}-.040867
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03057{col 33} .01329{col 43}2.2998{col 52}0.021{col 60} .004517{col 73} .056628
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03057{col 33} .01489{col 43}2.0527{col 52}0.040{col 60} .001381{col 73} .059765
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake180Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   128807{col 34}    25736{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    83881{col 34}    16463{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.717{col 34}    4.717
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.717{col 34}    4.717
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    69778{col 34}    18097
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07367{col 33} .01313{col 43}-5.6122{col 52}0.000{col 60}-.099404{col 73}-.047945
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02472{col 33} .01313{col 43}1.8832{col 52}0.060{col 60}-.001008{col 73} .050451
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02472{col 33} .01502{col 43}1.6455{col 52}0.100{col 60}-.004724{col 73} .054168
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake190Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   129465{col 34}    25078{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    87123{col 34}    16332{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.013{col 34}    5.013
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.013{col 34}    5.013
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70198{col 34}    17677
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07545{col 33} .01317{col 43}-5.7289{col 52}0.000{col 60}-.101268{col 73} -.04964
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02284{col 33} .01317{col 43}1.7344{col 52}0.083{col 60} -.00297{col 73} .048658
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02284{col 33} .01498{col 43}1.5250{col 52}0.127{col 60}-.006516{col 73} .052204
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake200Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   130153{col 34}    24390{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    88602{col 34}    16018{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.181{col 34}    5.181
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.181{col 34}    5.181
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70642{col 34}    17233
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07854{col 33} .01283{col 43}-6.1229{col 52}0.000{col 60}-.103675{col 73}-.053396
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0208{col 33} .01283{col 43}1.6215{col 52}0.105{col 60}-.004341{col 73} .045938
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0208{col 33} .01473{col 43}1.4117{col 52}0.158{col 60}-.008078{col 73} .049674
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake210Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   130872{col 34}    23671{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    92804{col 34}    15903{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.591{col 34}    5.591
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.591{col 34}    5.591
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71099{col 34}    16776
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09137{col 33} .01296{col 43}-7.0499{col 52}0.000{col 60}-.116773{col 73}-.065968
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02027{col 33} .01296{col 43}1.5637{col 52}0.118{col 60}-.005136{col 73} .045669
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02027{col 33} .01446{col 43}1.4012{col 52}0.161{col 60}-.008081{col 73} .048614
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake220Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   131498{col 34}    23045{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    96307{col 34}    15798{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.981{col 34}    5.981
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.981{col 34}    5.981
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71492{col 34}    16383
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09798{col 33} .01333{col 43}-7.3508{col 52}0.000{col 60}-.124107{col 73}-.071857
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00231{col 33} .01333{col 43}-0.1734{col 52}0.862{col 60}-.028436{col 73} .023814
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00231{col 33}  .0143{col 43}-0.1616{col 52}0.872{col 60}-.030343{col 73} .025721
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake230Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   132091{col 34}    22452{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    99193{col 34}    15625{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.352{col 34}    6.352
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.352{col 34}    6.352
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71882{col 34}    15993
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.1026{col 33} .01312{col 43}-7.8183{col 52}0.000{col 60}-.128316{col 73}-.076876
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00032{col 33} .01312{col 43}-0.0243{col 52}0.981{col 60}-.026039{col 73} .025401
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00032{col 33} .01442{col 43}-0.0221{col 52}0.982{col 60}-.028581{col 73} .027944
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake240Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   132658{col 34}    21885{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    99419{col 34}    15213{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.406{col 34}    6.406
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.406{col 34}    6.406
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72239{col 34}    15636
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09412{col 33} .01331{col 43}-7.0713{col 52}0.000{col 60}-.120204{col 73}-.068031
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01953{col 33} .01331{col 43}1.4671{col 52}0.142{col 60} -.00656{col 73} .045614
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01953{col 33} .01452{col 43}1.3445{col 52}0.179{col 60}-.008939{col 73} .047993
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake250Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   133240{col 34}    21303{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    99615{col 34}    14769{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.460{col 34}    6.460
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.460{col 34}    6.460
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72598{col 34}    15277
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.10009{col 33} .01353{col 43}-7.3965{col 52}0.000{col 60}-.126614{col 73}-.073568
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01371{col 33} .01353{col 43}1.0133{col 52}0.311{col 60}-.012811{col 73} .040235
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01371{col 33} .01471{col 43}0.9319{col 52}0.351{col 60}-.015127{col 73} .042551
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake260Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   133787{col 34}    20756{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    98493{col 34}    14230{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.370{col 34}    6.370
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.370{col 34}    6.370
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72967{col 34}    14908
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.08894{col 33} .01371{col 43}-6.4892{col 52}0.000{col 60}-.115797{col 73}-.062074
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03198{col 33} .01371{col 43}2.3337{col 52}0.020{col 60} .005122{col 73} .058845
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03198{col 33} .01491{col 43}2.1448{col 52}0.032{col 60} .002757{col 73}  .06121
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake270Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   134324{col 34}    20219{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    90802{col 34}    13202{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.720{col 34}    5.720
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.720{col 34}    5.720
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73307{col 34}    14568
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05157{col 33} .01378{col 43}-3.7417{col 52}0.000{col 60}-.078584{col 73}-.024557
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0744{col 33} .01378{col 43}5.3983{col 52}0.000{col 60}  .04739{col 73} .101417
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0744{col 33} .01594{col 43}4.6690{col 52}0.000{col 60}  .04317{col 73} .105637
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake280Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   134826{col 34}    19717{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    92760{col 34}    12962{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.934{col 34}    5.934
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.934{col 34}    5.934
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73627{col 34}    14248
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06456{col 33} .01368{col 43}-4.7199{col 52}0.000{col 60}-.091375{col 73}-.037753
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0586{col 33} .01368{col 43}4.2837{col 52}0.000{col 60} .031787{col 73} .085409
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0586{col 33} .01606{col 43}3.6483{col 52}0.000{col 60} .027117{col 73} .090079
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake290Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   135335{col 34}    19208{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    85730{col 34}    12182{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.517{col 34}    5.517
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.517{col 34}    5.517
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73943{col 34}    13932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02839{col 33} .01394{col 43}-2.0375{col 52}0.042{col 60}-.055708{col 73} -.00108
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .07507{col 33} .01394{col 43}5.3865{col 52}0.000{col 60} .047752{col 73}  .10238
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .07507{col 33} .01743{col 43}4.3071{col 52}0.000{col 60} .040907{col 73} .109226
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake300Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Finland.dta{rm}
saved
{p_end}

{com}. 
. preserve        
{txt}
{com}.         
. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}.         
. levelsof country, local(election)
{res}{txt}`"Brazil"' `"Colombia"' `"Denmark"' `"Finland"'

{com}.         foreach x of local election {c -(}
{txt}  2{com}.                 use "fake-300`x'.dta", clear
{txt}  3{com}.                 forvalues i=-290(10)300 {c -(}
{txt}  4{com}.                 append using fake`i'`x'.dta
{txt}  5{com}.                 {c )-}       
{txt}  6{com}. 
. duplicates drop cutoff parm, force
{txt}  7{com}. 
. twoway (rline min95 max95 cutoff if parm=="Conventional", plotregion(lcolor(black)) ylabel(,format(%9.2f)) lpattern(dash) lcolor(gray) xlabel(-3(1)3, format(%9.0f)) subtitle("Conventional, p = 2, MSE", position(11)) legend(off) xtitle("Cutoff") ytitle(Estimated effect)  graphregion(color(white))  xline(0, lcolor(cranberry)) yline(0, lcolor(black) lwidth(vthin))) (scatter estimate cutoff if parm=="Conventional", connect(direct) lcolor(black) msymbol(none))
{txt}  8{com}. graph save "$dir/temp/fakecutoff1_`x'2a.gph", replace
{txt}  9{com}. twoway (rline min95 max95 cutoff if parm=="Robust", plotregion(lcolor(black)) ylabel(,format(%9.2f)) lpattern(dash) lcolor(gray) xlabel(-3(1)3, format(%9.0f)) subtitle("Robust, p = 2, MSE", position(11)) legend(off) xtitle("Cutoff") ytitle(Estimated effect)  graphregion(color(white))  xline(0, lcolor(cranberry)) yline(0, lcolor(black) lwidth(vthin))) (scatter estimate cutoff if parm=="Robust", connect(direct) lcolor(black) msymbol(none))
{txt} 10{com}. graph save "$dir/temp/fakecutoff2_`x'2a.gph", replace
{txt} 11{com}.         {c )-}

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Brazil2a.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Brazil2a.gph} saved
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Brazil2a.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Brazil2a.gph} saved

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Colombia2a.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Colombia2a.gph} saved
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Colombia2a.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Colombia2a.gph} saved

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Denmark2a.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Denmark2a.gph} saved
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Denmark2a.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Denmark2a.gph} saved

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Finland2a.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Finland2a.gph} saved
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Finland2a.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Finland2a.gph} saved

{com}. restore
{txt}
{com}. 
. est clear
{txt}
{com}. 
. // p = 2, CER-optimal bandwidths
. 
. levelsof country, local(election)
{res}{txt}`"Brazil"' `"Colombia"' `"Denmark"' `"Finland"'

{com}.                 foreach x of local election {c -(}
{txt}  2{com}.                 preserve
{txt}  3{com}.                 forvalues i=-300(10)300 {c -(}
{txt}  4{com}.                         local k = `i'/100
{txt}  5{com}.                         rdrobust runningnextelection rv if rv!=0 & country=="`x'", all p(2) rho(1) c(`k') vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{txt}  6{com}.                         parmest, saving("fake`i'`x'.dta", replace)
{txt}  7{com}.                         {c )-}
{txt}  8{com}. 
.                 forvalues i=-300(10)300 {c -(}
{txt}  9{com}. 
.                         use fake`i'`x'.dta, clear
{txt} 10{com}.                         gen cutoff =`i'/100
{txt} 11{com}.                         save, replace
{txt} 12{com}.                         sleep 500
{txt} 13{com}.                 {c )-}
{txt} 14{com}.                 restore
{txt} 15{com}.         {c )-}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   417254{col 34}   179006{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    93633{col 34}    70831{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.191{col 34}    3.191
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.191{col 34}    3.191
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   282598{col 34}   131787
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5554{col 34}     5559

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02045{col 33} .00797{col 43}2.5665{col 52}0.010{col 60} .004832{col 73} .036062
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00112{col 33} .00797{col 43}0.1408{col 52}0.888{col 60}-.014494{col 73} .016737
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00112{col 33} .01019{col 43}0.1101{col 52}0.912{col 60}-.018848{col 73} .021091
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-300Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   419929{col 34}   176331{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    84617{col 34}    65213{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.928{col 34}    2.928
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.928{col 34}    2.928
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   284414{col 34}   129971
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5555{col 34}     5559

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01665{col 33} .00832{col 43}2.0015{col 52}0.045{col 60} .000346{col 73} .032949
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01124{col 33} .00832{col 43}1.3518{col 52}0.176{col 60}-.005058{col 73} .027545
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01124{col 33} .01069{col 43}1.0522{col 52}0.293{col 60}  -.0097{col 73} .032187
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-290Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   422470{col 34}   173790{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    93100{col 34}    69949{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.212{col 34}    3.212
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.212{col 34}    3.212
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   286147{col 34}   128238
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5556{col 34}     5559

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02037{col 33}   .008{col 43}2.5468{col 52}0.011{col 60} .004693{col 73} .036039
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00084{col 33}   .008{col 43}-0.1047{col 52}0.917{col 60} -.01651{col 73} .014836
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00084{col 33} .01019{col 43}-0.0821{col 52}0.935{col 60}-.020816{col 73} .019141
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-280Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   425024{col 34}   171236{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    91677{col 34}    68818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.187{col 34}    3.187
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.187{col 34}    3.187
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   287869{col 34}   126516
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5555{col 34}     5559

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02006{col 33} .00803{col 43}2.4994{col 52}0.012{col 60}  .00433{col 73}  .03579
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00631{col 33} .00803{col 43}0.7865{col 52}0.432{col 60}-.009418{col 73} .022042
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00631{col 33} .01021{col 43}0.6184{col 52}0.536{col 60}-.013693{col 73} .026317
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-270Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   427590{col 34}   168670{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    84405{col 34}    64186{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.979{col 34}    2.979
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.979{col 34}    2.979
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   289607{col 34}   124778
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5554{col 34}     5559

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01388{col 33}  .0083{col 43}1.6726{col 52}0.094{col 60}-.002384{col 73} .030142
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00912{col 33}  .0083{col 43}-1.0992{col 52}0.272{col 60}-.025384{col 73} .007142
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00912{col 33} .01059{col 43}-0.8615{col 52}0.389{col 60}-.029872{col 73}  .01163
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-260Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   429942{col 34}   166318{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    72831{col 34}    57147{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.639{col 34}    2.639
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.639{col 34}    2.639
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   291259{col 34}   123126
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5549{col 34}     5558

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00331{col 33} .00878{col 43}0.3769{col 52}0.706{col 60}-.013904{col 73} .020524
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01183{col 33} .00878{col 43}-1.3465{col 52}0.178{col 60}-.029039{col 73} .005388
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01183{col 33} .01131{col 43}-1.0454{col 52}0.296{col 60}-.033996{col 73} .010345
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-250Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   432367{col 34}   163893{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    64612{col 34}    52596{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.388{col 34}    2.388
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.388{col 34}    2.388
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   292951{col 34}   121434
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5542{col 34}     5558

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00422{col 33} .00923{col 43}-0.4570{col 52}0.648{col 60}-.022306{col 73}  .01387
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0026{col 33} .00923{col 43}0.2822{col 52}0.778{col 60}-.015483{col 73} .020693
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0026{col 33} .01189{col 43}0.2190{col 52}0.827{col 60}-.020709{col 73} .025918
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-240Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   434827{col 34}   161433{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    60719{col 34}    50009{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.272{col 34}    2.272
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.272{col 34}    2.272
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   294623{col 34}   119762
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5537{col 34}     5557

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00097{col 33} .00961{col 43}0.1006{col 52}0.920{col 60}-.017861{col 73} .019793
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01547{col 33} .00961{col 43}1.6110{col 52}0.107{col 60}-.003352{col 73} .034301
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01547{col 33} .01237{col 43}1.2505{col 52}0.211{col 60} -.00878{col 73} .039729
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-230Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   437158{col 34}   159102{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    54696{col 34}    46051{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.079{col 34}    2.079
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.079{col 34}    2.079
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   296222{col 34}   118163
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5532{col 34}     5552

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00911{col 33} .01001{col 43}-0.9098{col 52}0.363{col 60}-.028732{col 73} .010514
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00498{col 33} .01001{col 43}0.4978{col 52}0.619{col 60}-.014639{col 73} .024606
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00498{col 33} .01323{col 43}0.3766{col 52}0.706{col 60} -.02095{col 73} .030917
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-220Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   439473{col 34}   156787{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    49583{col 34}    42603{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.922{col 34}    1.922
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.922{col 34}    1.922
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   297810{col 34}   116575
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5520{col 34}     5546

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01421{col 33} .01048{col 43}-1.3552{col 52}0.175{col 60}-.034751{col 73} .006339
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00021{col 33} .01048{col 43}-0.0205{col 52}0.984{col 60} -.02076{col 73}  .02033
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00021{col 33} .01347{col 43}-0.0159{col 52}0.987{col 60} -.02662{col 73} .026191
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-210Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   441746{col 34}   154514{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    48082{col 34}    41607{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.886{col 34}    1.886
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.886{col 34}    1.886
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   299412{col 34}   114973
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5520{col 34}     5547

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01618{col 33} .01071{col 43}-1.5112{col 52}0.131{col 60}-.037165{col 73} .004805
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01036{col 33} .01071{col 43}-0.9675{col 52}0.333{col 60}-.031344{col 73} .010626
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01036{col 33} .01364{col 43}-0.7597{col 52}0.447{col 60}-.037085{col 73} .016366
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-200Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   444204{col 34}   152056{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    46363{col 34}    40101{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.836{col 34}    1.836
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.836{col 34}    1.836
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   301070{col 34}   113315
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5517{col 34}     5538

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01484{col 33} .01122{col 43}-1.3228{col 52}0.186{col 60}-.036834{col 73} .007149
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01212{col 33} .01122{col 43}-1.0802{col 52}0.280{col 60}-.034111{col 73} .009872
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01212{col 33} .01427{col 43}-0.8496{col 52}0.396{col 60} -.04008{col 73} .015841
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-190Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   446600{col 34}   149660{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    45899{col 34}    38545{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.828{col 34}    1.828
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.828{col 34}    1.828
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   302667{col 34}   111718
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5519{col 34}     5530

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00389{col 33} .01166{col 43}-0.3337{col 52}0.739{col 60} -.02675{col 73} .018966
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01698{col 33} .01166{col 43}-1.4556{col 52}0.146{col 60}-.039833{col 73} .005883
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01698{col 33} .01488{col 43}-1.1405{col 52}0.254{col 60}-.046147{col 73} .012196
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-180Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   449030{col 34}   147230{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    44994{col 34}    37339{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.802{col 34}    1.802
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.802{col 34}    1.802
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   304324{col 34}   110061
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5518{col 34}     5520

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01139{col 33} .01171{col 43}0.9721{col 52}0.331{col 60} -.01157{col 73} .034341
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01793{col 33} .01171{col 43}-1.5312{col 52}0.126{col 60}-.040888{col 73} .005022
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01793{col 33} .01524{col 43}-1.1766{col 52}0.239{col 60}-.047806{col 73}  .01194
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-170Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   451305{col 34}   144955{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    45432{col 34}    37689{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.837{col 34}    1.837
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.837{col 34}    1.837
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   305923{col 34}   108462
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5518{col 34}     5505

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03642{col 33} .01173{col 43}3.1056{col 52}0.002{col 60} .013437{col 73} .059412
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01173{col 33} .01173{col 43}0.9998{col 52}0.317{col 60}-.011261{col 73} .034714
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01173{col 33} .01533{col 43}0.7649{col 52}0.444{col 60} -.01832{col 73} .041772
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-160Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   453634{col 34}   142626{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    44157{col 34}    36648{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.802{col 34}    1.802
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.802{col 34}    1.802
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   307533{col 34}   106852
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5522{col 34}     5486

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03349{col 33} .01169{col 43}2.8650{col 52}0.004{col 60}  .01058{col 73} .056403
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00259{col 33} .01169{col 43}-0.2213{col 52}0.825{col 60}-.025498{col 73} .020324
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00259{col 33} .01483{col 43}-0.1744{col 52}0.862{col 60}-.031656{col 73} .026482
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-150Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   455997{col 34}   140263{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    43040{col 34}    35595{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.769{col 34}    1.769
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.769{col 34}    1.769
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   309168{col 34}   105217
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5525{col 34}     5465

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02873{col 33} .01167{col 43}2.4619{col 52}0.014{col 60} .005857{col 73} .051598
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00626{col 33} .01167{col 43}-0.5362{col 52}0.592{col 60}-.029127{col 73} .016613
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00626{col 33} .01483{col 43}-0.4219{col 52}0.673{col 60}-.035323{col 73}  .02281
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-140Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   458277{col 34}   137983{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    41822{col 34}    34527{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.732{col 34}    1.732
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.732{col 34}    1.732
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   310746{col 34}   103639
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5515{col 34}     5436

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01473{col 33} .01156{col 43}1.2746{col 52}0.202{col 60} -.00792{col 73} .037377
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00749{col 33} .01156{col 43}-0.6481{col 52}0.517{col 60}-.030138{col 73} .015159
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00749{col 33} .01466{col 43}-0.5108{col 52}0.610{col 60}-.036228{col 73} .021249
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-130Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   460455{col 34}   135805{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    41952{col 34}    34636{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.754{col 34}    1.754
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.754{col 34}    1.754
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   312256{col 34}   102129
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5517{col 34}     5390

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01083{col 33}  .0113{col 43}0.9578{col 52}0.338{col 60}-.011326{col 73} .032976
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02017{col 33}  .0113{col 43}1.7843{col 52}0.074{col 60}-.001985{col 73} .042317
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02017{col 33} .01454{col 43}1.3874{col 52}0.165{col 60}-.008323{col 73} .048654
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-120Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   462704{col 34}   133556{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    42119{col 34}    34671{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.774{col 34}    1.774
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.774{col 34}    1.774
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   313770{col 34}   100615
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5523{col 34}     5321

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00538{col 33} .01114{col 43}-0.4830{col 52}0.629{col 60}-.027216{col 73} .016455
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02235{col 33} .01114{col 43}2.0059{col 52}0.045{col 60} .000511{col 73} .044182
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02235{col 33} .01452{col 43}1.5391{col 52}0.124{col 60} -.00611{col 73} .050804
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-110Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   464822{col 34}   131438{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    43681{col 34}    35712{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.851{col 34}    1.851
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.851{col 34}    1.851
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   315242{col 34}    99143
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5534{col 34}     5258

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02697{col 33}  .0109{col 43}-2.4737{col 52}0.013{col 60} -.04833{col 73}  -.0056
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01979{col 33}  .0109{col 43}1.8157{col 52}0.069{col 60}-.001572{col 73} .041158
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01979{col 33} .01426{col 43}1.3882{col 52}0.165{col 60}-.008152{col 73} .047737
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-100Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   466962{col 34}   129298{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    43849{col 34}    35790{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.874{col 34}    1.874
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.874{col 34}    1.874
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   316702{col 34}    97683
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5540{col 34}     5241

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03197{col 33} .01059{col 43}-3.0180{col 52}0.003{col 60} -.05274{col 73} -.01121
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0075{col 33} .01059{col 43}0.7079{col 52}0.479{col 60}-.013265{col 73} .028266
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0075{col 33} .01402{col 43}0.5351{col 52}0.593{col 60}-.019973{col 73} .034974
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-90Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   469107{col 34}   127153{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    44905{col 34}    36520{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.933{col 34}    1.933
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.933{col 34}    1.933
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   318169{col 34}    96216
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5539{col 34}     5346

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04113{col 33} .01045{col 43}-3.9341{col 52}0.000{col 60}-.061615{col 73}-.020637
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00114{col 33} .01045{col 43}0.1092{col 52}0.913{col 60}-.019347{col 73}  .02163
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00114{col 33}  .0138{col 43}0.0827{col 52}0.934{col 60}-.025915{col 73} .028199
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-80Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   471184{col 34}   125076{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    46163{col 34}    37346{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.000{col 34}    2.000
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.000{col 34}    2.000
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   319643{col 34}    94742
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5542{col 34}     5437

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05355{col 33} .01029{col 43}-5.2040{col 52}0.000{col 60}-.073722{col 73}-.033383
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0343{col 33} .01029{col 43}-3.3332{col 52}0.001{col 60}-.054471{col 73}-.014132
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0343{col 33} .01358{col 43}-2.5254{col 52}0.012{col 60}-.060922{col 73} -.00768
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-70Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   473355{col 34}   122905{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    47172{col 34}    37810{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.055{col 34}    2.055
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.055{col 34}    2.055
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   321154{col 34}    93231
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5544{col 34}     5477

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05261{col 33}  .0102{col 43}-5.1556{col 52}0.000{col 60} -.07261{col 73} -.03261
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06669{col 33}  .0102{col 43}-6.5356{col 52}0.000{col 60}-.086691{col 73}-.046691
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06669{col 33}  .0135{col 43}-4.9395{col 52}0.000{col 60}-.093154{col 73}-.040229
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-60Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   475449{col 34}   120811{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    52067{col 34}    40798{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.264{col 34}    2.264
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.264{col 34}    2.264
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   322586{col 34}    91799
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5553{col 34}     5525

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02624{col 33} .00981{col 43}-2.6736{col 52}0.008{col 60}-.045477{col 73}-.007004
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  -.061{col 33} .00981{col 43}-6.2148{col 52}0.000{col 60}-.080232{col 73}-.041759
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  -.061{col 33} .01304{col 43}-4.6783{col 52}0.000{col 60}-.086549{col 73}-.035442
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-50Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   477537{col 34}   118723{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    59932{col 34}    45475{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.587{col 34}    2.587
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.587{col 34}    2.587
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   324054{col 34}    90331
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5556{col 34}     5553

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01017{col 33} .00928{col 43}1.0959{col 52}0.273{col 60}-.008015{col 73} .028346
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03531{col 33} .00928{col 43}-3.8069{col 52}0.000{col 60}-.053493{col 73}-.017132
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03531{col 33} .01225{col 43}-2.8820{col 52}0.004{col 60}-.059327{col 73}-.011297
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-40Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   479583{col 34}   116677{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    73447{col 34}    52544{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.126{col 34}    3.126
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.126{col 34}    3.126
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   325497{col 34}    88888
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5560{col 34}     5558

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05769{col 33} .00851{col 43}6.7804{col 52}0.000{col 60} .041013{col 73} .074364
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01474{col 33} .00851{col 43}1.7329{col 52}0.083{col 60}-.001932{col 73} .031419
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01474{col 33} .01143{col 43}1.2903{col 52}0.197{col 60}-.007652{col 73} .037139
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-30Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   481621{col 34}   114639{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    82534{col 34}    56412{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.489{col 34}    3.489
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.489{col 34}    3.489
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   326948{col 34}    87437
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5559

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .08541{col 33} .00807{col 43}10.5799{col 52}0.000{col 60} .069585{col 73} .101228
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04481{col 33} .00807{col 43}5.5515{col 52}0.000{col 60} .028992{col 73} .060636
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04481{col 33} .01086{col 43}4.1248{col 52}0.000{col 60}  .02352{col 73} .066108
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-20Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   483631{col 34}   112629{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    92583{col 34}    59956{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.880{col 34}    3.880
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.880{col 34}    3.880
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   328447{col 34}    85938
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5560

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .10445{col 33} .00762{col 43}13.7039{col 52}0.000{col 60} .089508{col 73} .119385
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .07889{col 33} .00762{col 43}10.3509{col 52}0.000{col 60} .063953{col 73} .093829
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .07889{col 33} .01033{col 43}7.6346{col 52}0.000{col 60} .058638{col 73} .099144
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-10Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    92537{col 34}    60266{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.930{col 34}    3.930
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.930{col 34}    3.930
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5560

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11145{col 33} .00756{col 43}14.7354{col 52}0.000{col 60} .096623{col 73} .126269
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .09482{col 33} .00756{col 43}12.5366{col 52}0.000{col 60} .079993{col 73}  .10964
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .09482{col 33} .01037{col 43}9.1452{col 52}0.000{col 60} .074496{col 73} .115137
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake0Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   486336{col 34}   109924{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    82165{col 34}    56358{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.597{col 34}    3.597
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.597{col 34}    3.597
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   330780{col 34}    83605
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5560{col 34}     5560

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .07788{col 33} .00793{col 43}9.8174{col 52}0.000{col 60} .062333{col 73}  .09343
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05242{col 33} .00793{col 43}6.6080{col 52}0.000{col 60} .036873{col 73}  .06797
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05242{col 33} .01048{col 43}5.0026{col 52}0.000{col 60} .031883{col 73} .072959
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake10Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   488275{col 34}   107985{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    78933{col 34}    54531{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.507{col 34}    3.507
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.507{col 34}    3.507
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   332243{col 34}    82142
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5560{col 34}     5560

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05332{col 33}  .0079{col 43}6.7472{col 52}0.000{col 60}  .03783{col 73} .068806
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02428{col 33}  .0079{col 43}3.0721{col 52}0.002{col 60} .008788{col 73} .039765
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02428{col 33}  .0102{col 43}2.3806{col 52}0.017{col 60}  .00429{col 73} .044263
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake20Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   490255{col 34}   106005{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    69076{col 34}    49695{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.150{col 34}    3.150
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.150{col 34}    3.150
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   333651{col 34}    80734
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5559{col 34}     5559

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00616{col 33} .00824{col 43}0.7478{col 52}0.455{col 60}-.009992{col 73}  .02232
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01972{col 33} .00824{col 43}-2.3924{col 52}0.017{col 60}-.035876{col 73}-.003564
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01972{col 33} .01037{col 43}-1.9013{col 52}0.057{col 60}-.040049{col 73} .000609
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake30Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   492206{col 34}   104054{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    63781{col 34}    46763{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.965{col 34}    2.965
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.965{col 34}    2.965
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   335040{col 34}    79345
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5559{col 34}     5558

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01994{col 33}  .0084{col 43}-2.3728{col 52}0.018{col 60}-.036413{col 73} -.00347
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04272{col 33}  .0084{col 43}-5.0833{col 52}0.000{col 60}-.059192{col 73}-.026249
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04272{col 33}  .0107{col 43}-3.9923{col 52}0.000{col 60}-.063693{col 73}-.021748
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake40Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   494096{col 34}   102164{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    62462{col 34}    45626{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.930{col 34}    2.930
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.930{col 34}    2.930
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   336371{col 34}    78014
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5558

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02598{col 33} .00838{col 43}-3.0995{col 52}0.002{col 60}-.042409{col 73}-.009552
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03345{col 33} .00838{col 43}-3.9903{col 52}0.000{col 60}-.049876{col 73}-.017019
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03345{col 33} .01076{col 43}-3.1093{col 52}0.002{col 60}-.054531{col 73}-.012364
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake50Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   495991{col 34}   100269{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    60717{col 34}    44339{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.880{col 34}    2.880
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.880{col 34}    2.880
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   337696{col 34}    76689
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5558

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04009{col 33} .00848{col 43}-4.7277{col 52}0.000{col 60}-.056716{col 73}-.023472
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03585{col 33} .00848{col 43}-4.2274{col 52}0.000{col 60}-.052474{col 73} -.01923
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03585{col 33} .01086{col 43}-3.3006{col 52}0.001{col 60}-.057141{col 73}-.014562
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake60Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   497829{col 34}    98431{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    61391{col 34}    44125{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.931{col 34}    2.931
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.931{col 34}    2.931
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   339000{col 34}    75385
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5555{col 34}     5558

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05552{col 33} .00845{col 43}-6.5726{col 52}0.000{col 60}-.072079{col 73}-.038965
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04985{col 33} .00845{col 43}-5.9007{col 52}0.000{col 60}-.066403{col 73}-.033289
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04985{col 33} .01088{col 43}-4.5819{col 52}0.000{col 60}-.071168{col 73}-.028524
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake70Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   499578{col 34}    96682{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    59570{col 34}    42897{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.877{col 34}    2.877
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.877{col 34}    2.877
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   340269{col 34}    74116
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5549{col 34}     5557

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04377{col 33} .00849{col 43}-5.1559{col 52}0.000{col 60}-.060415{col 73}-.027134
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02157{col 33} .00849{col 43}-2.5408{col 52}0.011{col 60}-.038212{col 73}-.004932
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02157{col 33} .01118{col 43}-1.9292{col 52}0.054{col 60}-.043488{col 73} .000344
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake80Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   501425{col 34}    94835{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    58294{col 34}    41761{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.844{col 34}    2.844
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.844{col 34}    2.844
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   341545{col 34}    72840
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5543{col 34}     5558

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0491{col 33} .00847{col 43}-5.7975{col 52}0.000{col 60}-.065699{col 73}-.032501
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02342{col 33} .00847{col 43}-2.7652{col 52}0.006{col 60}-.040017{col 73}-.006819
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02342{col 33} .01117{col 43}-2.0968{col 52}0.036{col 60}-.045309{col 73}-.001528
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake90Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   503229{col 34}    93031{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    62013{col 34}    43114{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.026{col 34}    3.026
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.026{col 34}    3.026
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   342819{col 34}    71566
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5549{col 34}     5557

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05148{col 33} .00833{col 43}-6.1813{col 52}0.000{col 60}-.067805{col 73}-.035158
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0212{col 33} .00833{col 43}-2.5454{col 52}0.011{col 60}-.037524{col 73}-.004876
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0212{col 33}   .011{col 43}-1.9281{col 52}0.054{col 60} -.04275{col 73} .000351
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake100Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   505005{col 34}    91255{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    60965{col 34}    42144{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.007{col 34}    3.007
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.007{col 34}    3.007
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   344062{col 34}    70323
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5538{col 34}     5556

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05349{col 33} .00838{col 43}-6.3836{col 52}0.000{col 60}-.069911{col 73}-.037066
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02756{col 33} .00838{col 43}-3.2892{col 52}0.001{col 60}-.043983{col 73}-.011138
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02756{col 33} .01102{col 43}-2.5006{col 52}0.012{col 60}-.049162{col 73}-.005959
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake110Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   506825{col 34}    89435{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    69018{col 34}    45026{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.372{col 34}    3.372
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.372{col 34}    3.372
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   345321{col 34}    69064
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5554{col 34}     5560

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04159{col 33} .00801{col 43}-5.1899{col 52}0.000{col 60} -.05729{col 73}-.025881
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01013{col 33} .00801{col 43}1.2639{col 52}0.206{col 60}-.005577{col 73} .025833
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01013{col 33} .01054{col 43}0.9611{col 52}0.336{col 60}-.010525{col 73} .030781
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake120Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   508527{col 34}    87733{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    74326{col 34}    46434{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.624{col 34}    3.624
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.624{col 34}    3.624
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   346533{col 34}    67852
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5561

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04382{col 33} .00778{col 43}-5.6297{col 52}0.000{col 60}-.059072{col 73}-.028563
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02179{col 33} .00778{col 43}2.7997{col 52}0.005{col 60} .006536{col 73} .037046
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02179{col 33} .01016{col 43}2.1446{col 52}0.032{col 60} .001876{col 73} .041705
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake130Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   510275{col 34}    85985{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    76380{col 34}    46494{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.736{col 34}    3.736
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.736{col 34}    3.736
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   347755{col 34}    66630
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5560

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04564{col 33} .00774{col 43}-5.9004{col 52}0.000{col 60}-.060801{col 73} -.03048
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01646{col 33} .00774{col 43}2.1277{col 52}0.033{col 60} .001297{col 73} .031618
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01646{col 33} .01013{col 43}1.6248{col 52}0.104{col 60}-.003395{col 73} .036311
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake140Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   511964{col 34}    84296{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    78397{col 34}    46561{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.849{col 34}    3.849
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.849{col 34}    3.849
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   348926{col 34}    65459
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5561

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04841{col 33} .00769{col 43}-6.2937{col 52}0.000{col 60}-.063488{col 73}-.033336
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01644{col 33} .00769{col 43}2.1378{col 52}0.033{col 60} .001368{col 73}  .03152
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01644{col 33} .01006{col 43}1.6344{col 52}0.102{col 60}-.003275{col 73} .036163
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake150Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   513656{col 34}    82604{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    79740{col 34}    46320{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.935{col 34}    3.935
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.935{col 34}    3.935
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   350122{col 34}    64263
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5561

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04397{col 33} .00764{col 43}-5.7527{col 52}0.000{col 60}-.058947{col 73}-.028987
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02599{col 33} .00764{col 43}3.4003{col 52}0.001{col 60} .011008{col 73} .040968
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02599{col 33} .00995{col 43}2.6112{col 52}0.009{col 60} .006482{col 73} .045494
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake160Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   515238{col 34}    81022{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    81816{col 34}    46386{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.056{col 34}    4.056
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.056{col 34}    4.056
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   351247{col 34}    63138
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0521{col 33}  .0076{col 43}-6.8594{col 52}0.000{col 60} -.06699{col 73}-.037215
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01474{col 33}  .0076{col 43}1.9403{col 52}0.052{col 60}-.000149{col 73} .029626
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01474{col 33}  .0099{col 43}1.4892{col 52}0.136{col 60} -.00466{col 73} .034137
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake170Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   516852{col 34}    79408{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    80803{col 34}    45418{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.048{col 34}    4.048
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.048{col 34}    4.048
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   352391{col 34}    61994
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5556{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  -.041{col 33} .00765{col 43}-5.3621{col 52}0.000{col 60}-.055986{col 73}-.026014
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02654{col 33} .00765{col 43}3.4704{col 52}0.001{col 60}  .01155{col 73} .041523
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02654{col 33} .00991{col 43}2.6772{col 52}0.007{col 60} .007109{col 73} .045963
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake180Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   518523{col 34}    77737{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    83607{col 34}    45593{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.196{col 34}    4.196
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.196{col 34}    4.196
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   353556{col 34}    60829
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04649{col 33}  .0076{col 43}-6.1192{col 52}0.000{col 60}-.061384{col 73}-.031601
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02343{col 33}  .0076{col 43}3.0837{col 52}0.002{col 60} .008538{col 73} .038321
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02343{col 33} .00986{col 43}2.3760{col 52}0.017{col 60} .004103{col 73} .042756
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake190Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   520067{col 34}    76193{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    84666{col 34}    45260{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.275{col 34}    4.275
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.275{col 34}    4.275
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   354678{col 34}    59707
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04169{col 33} .00758{col 43}-5.5009{col 52}0.000{col 60}-.056537{col 73}-.026833
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02953{col 33} .00758{col 43}3.8971{col 52}0.000{col 60}  .01468{col 73} .044384
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02953{col 33} .00992{col 43}2.9776{col 52}0.003{col 60} .010093{col 73} .048971
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake200Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   521636{col 34}    74624{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    79169{col 34}    43018{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.072{col 34}    4.072
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.072{col 34}    4.072
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   355822{col 34}    58563
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5550{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02369{col 33} .00782{col 43}-3.0306{col 52}0.002{col 60}-.039017{col 73} -.00837
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03233{col 33} .00782{col 43}4.1348{col 52}0.000{col 60} .017003{col 73} .047649
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03233{col 33} .01012{col 43}3.1942{col 52}0.001{col 60} .012491{col 73} .052161
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake210Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   523189{col 34}    73071{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    85969{col 34}    44179{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.398{col 34}    4.398
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.398{col 34}    4.398
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   356908{col 34}    57477
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5555{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03171{col 33} .00763{col 43}-4.1572{col 52}0.000{col 60}-.046658{col 73}-.016759
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03109{col 33} .00763{col 43}4.0760{col 52}0.000{col 60} .016139{col 73} .046038
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03109{col 33} .01009{col 43}3.0819{col 52}0.002{col 60} .011318{col 73}  .05086
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake220Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   524629{col 34}    71631{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    79367{col 34}    41828{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.154{col 34}    4.154
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.154{col 34}    4.154
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   357947{col 34}    56438
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5556{col 34}     5562

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00806{col 33} .00787{col 43}-1.0241{col 52}0.306{col 60}-.023475{col 73} .007362
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03906{col 33} .00787{col 43}4.9648{col 52}0.000{col 60} .023638{col 73} .054474
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03906{col 33} .01033{col 43}3.7820{col 52}0.000{col 60} .018816{col 73} .059296
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake230Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   526075{col 34}    70185{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    76806{col 34}    40607{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.089{col 34}    4.089
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.089{col 34}    4.089
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   358976{col 34}    55409
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5561

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00472{col 33} .00799{col 43}0.5910{col 52}0.554{col 60}-.010943{col 73} .020393
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04352{col 33} .00799{col 43}5.4443{col 52}0.000{col 60} .027853{col 73} .059189
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04352{col 33} .01044{col 43}4.1672{col 52}0.000{col 60} .023052{col 73}  .06399
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake240Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   527475{col 34}    68785{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    75980{col 34}    39851{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.092{col 34}    4.092
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.092{col 34}    4.092
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   359987{col 34}    54398
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5561

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00803{col 33} .00799{col 43}1.0060{col 52}0.314{col 60}-.007617{col 73} .023684
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03979{col 33} .00799{col 43}4.9825{col 52}0.000{col 60} .024135{col 73} .055437
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03979{col 33} .01047{col 43}3.7984{col 52}0.000{col 60} .019257{col 73} .060315
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake250Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   528901{col 34}    67359{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    71701{col 34}    38133{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.946{col 34}    3.946
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.946{col 34}    3.946
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   360999{col 34}    53386
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5561

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01824{col 33}  .0082{col 43}2.2232{col 52}0.026{col 60}  .00216{col 73}  .03432
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02772{col 33}  .0082{col 43}3.3786{col 52}0.001{col 60} .011639{col 73} .043799
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02772{col 33} .01075{col 43}2.5793{col 52}0.010{col 60} .006656{col 73} .048782
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake260Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   530293{col 34}    65967{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    70864{col 34}    37391{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.948{col 34}    3.948
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.948{col 34}    3.948
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   361974{col 34}    52411
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5559

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02216{col 33} .00832{col 43}2.6643{col 52}0.008{col 60} .005859{col 73} .038465
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01883{col 33} .00832{col 43}2.2642{col 52}0.024{col 60} .002531{col 73} .035137
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01883{col 33} .01084{col 43}1.7368{col 52}0.082{col 60} -.00242{col 73} .040087
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake270Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   531718{col 34}    64542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    71238{col 34}    36852{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.999{col 34}    3.999
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.999{col 34}    3.999
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   362987{col 34}    51398
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5559

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02808{col 33} .00837{col 43}3.3564{col 52}0.001{col 60} .011684{col 73} .044483
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01629{col 33} .00837{col 43}1.9469{col 52}0.052{col 60}-.000109{col 73} .032689
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01629{col 33} .01081{col 43}1.5067{col 52}0.132{col 60}-.004901{col 73} .037481
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake280Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   533073{col 34}    63187{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    67169{col 34}    35209{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.850{col 34}    3.850
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.850{col 34}    3.850
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   363951{col 34}    50434
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5557

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0376{col 33} .00847{col 43}4.4403{col 52}0.000{col 60} .021005{col 73} .054202
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00275{col 33} .00847{col 43}0.3244{col 52}0.746{col 60}-.013851{col 73} .019346
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00275{col 33}   .011{col 43}0.2498{col 52}0.803{col 60} -.01881{col 73} .024305
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake290Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   534417{col 34}    61843{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    58271{col 34}    32123{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.467{col 34}    3.467
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.467{col 34}    3.467
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   364917{col 34}    49468
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5552

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03063{col 33} .00899{col 43}3.4058{col 52}0.001{col 60} .013005{col 73} .048264
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03261{col 33} .00899{col 43}-3.6252{col 52}0.000{col 60}-.050238{col 73}-.014978
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03261{col 33} .01179{col 43}-2.7661{col 52}0.006{col 60}-.055713{col 73}-.009504
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake300Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    95473{col 34}    52098{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28303{col 34}    24515{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.267{col 34}    4.267
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.267{col 34}    4.267
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    69612{col 34}    42042
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1097

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00933{col 33} .01316{col 43}0.7086{col 52}0.479{col 60}-.016467{col 73} .035118
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02839{col 33} .01316{col 43}2.1572{col 52}0.031{col 60} .002596{col 73} .054181
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02839{col 33} .01707{col 43}1.6628{col 52}0.096{col 60}-.005073{col 73}  .06185
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-300Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    96131{col 34}    51440{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27364{col 34}    23622{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.113{col 34}    4.113
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.113{col 34}    4.113
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70108{col 34}    41546
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1097

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01035{col 33} .01345{col 43}0.7692{col 52}0.442{col 60}-.016022{col 73}  .03672
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02841{col 33} .01345{col 43}2.1113{col 52}0.035{col 60} .002036{col 73} .054777
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02841{col 33} .01756{col 43}1.6178{col 52}0.106{col 60}-.006008{col 73} .062822
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-290Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    96776{col 34}    50795{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25965{col 34}    22418{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.896{col 34}    3.896
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.896{col 34}    3.896
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70588{col 34}    41066
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1096

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00594{col 33} .01365{col 43}0.4352{col 52}0.663{col 60}-.020814{col 73} .032695
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02042{col 33} .01365{col 43}1.4961{col 52}0.135{col 60}-.006333{col 73} .047177
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02042{col 33} .01763{col 43}1.1582{col 52}0.247{col 60}-.014136{col 73}  .05498
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-280Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    97440{col 34}    50131{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    23948{col 34}    20731{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.588{col 34}    3.588
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.588{col 34}    3.588
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71061{col 34}    40593
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1096

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0074{col 33} .01394{col 43}0.5308{col 52}0.596{col 60}-.019928{col 73} .034729
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01543{col 33} .01394{col 43}-1.1067{col 52}0.268{col 60}-.042759{col 73} .011897
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01543{col 33} .01823{col 43}-0.8463{col 52}0.397{col 60} -.05117{col 73} .020308
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-270Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    98102{col 34}    49469{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    22640{col 34}    19504{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.383{col 34}    3.383
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.383{col 34}    3.383
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71543{col 34}    40111
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1096

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01141{col 33} .01428{col 43}0.7989{col 52}0.424{col 60}-.016577{col 73} .039389
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0218{col 33} .01428{col 43}-1.5269{col 52}0.127{col 60}-.049782{col 73} .006184
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0218{col 33} .01865{col 43}-1.1687{col 52}0.243{col 60}-.058357{col 73} .014759
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-260Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    98772{col 34}    48799{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21003{col 34}    18112{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.138{col 34}    3.138
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.138{col 34}    3.138
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72057{col 34}    39597
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1098{col 34}     1096

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00049{col 33}  .0147{col 43}0.0330{col 52}0.974{col 60}-.028323{col 73} .029294
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04177{col 33}  .0147{col 43}-2.8419{col 52}0.004{col 60}-.070581{col 73}-.012964
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04177{col 33} .01887{col 43}-2.2136{col 52}0.027{col 60}-.078759{col 73}-.004786
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-250Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    99427{col 34}    48144{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20825{col 34}    17839{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.114{col 34}    3.114
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.114{col 34}    3.114
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72545{col 34}    39109
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1095

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00923{col 33} .01507{col 43}0.6125{col 52}0.540{col 60}-.020312{col 73} .038777
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00762{col 33} .01507{col 43}-0.5053{col 52}0.613{col 60}-.037161{col 73} .021928
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00762{col 33} .01958{col 43}-0.3889{col 52}0.697{col 60}-.046001{col 73} .030768
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-240Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   100081{col 34}    47490{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19842{col 34}    16940{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.964{col 34}    2.964
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.964{col 34}    2.964
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73046{col 34}    38608
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1098{col 34}     1095

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01477{col 33}  .0155{col 43}0.9527{col 52}0.341{col 60}-.015612{col 73} .045146
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00176{col 33}  .0155{col 43}0.1133{col 52}0.910{col 60}-.028623{col 73} .032135
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00176{col 33} .02021{col 43}0.0869{col 52}0.931{col 60}-.037846{col 73} .041358
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-230Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   100716{col 34}    46855{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19022{col 34}    16274{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.859{col 34}    2.859
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.859{col 34}    2.859
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73522{col 34}    38132
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1098{col 34}     1093

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02013{col 33} .01614{col 43}1.2477{col 52}0.212{col 60}-.011493{col 73} .051759
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02719{col 33} .01614{col 43}1.6851{col 52}0.092{col 60}-.004436{col 73} .058816
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02719{col 33} .02033{col 43}1.3375{col 52}0.181{col 60}-.012655{col 73} .067035
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-220Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   101388{col 34}    46183{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18678{col 34}    15808{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.800{col 34}    2.800
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.800{col 34}    2.800
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    74028{col 34}    37626
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1098{col 34}     1090

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02886{col 33}  .0162{col 43}1.7813{col 52}0.075{col 60}-.002895{col 73} .060614
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0515{col 33}  .0162{col 43}3.1785{col 52}0.001{col 60} .019742{col 73} .083252
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0515{col 33} .02101{col 43}2.4513{col 52}0.014{col 60} .010323{col 73} .092671
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-210Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   102052{col 34}    45519{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18279{col 34}    15330{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.738{col 34}    2.738
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.738{col 34}    2.738
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    74519{col 34}    37135
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1088

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0322{col 33} .01618{col 43}1.9901{col 52}0.047{col 60} .000487{col 73} .063907
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04753{col 33} .01618{col 43}2.9376{col 52}0.003{col 60} .015818{col 73} .079238
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04753{col 33} .02114{col 43}2.2478{col 52}0.025{col 60} .006086{col 73}  .08897
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-200Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   102726{col 34}    44845{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18008{col 34}    14952{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.697{col 34}    2.697
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.697{col 34}    2.697
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    75032{col 34}    36622
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1098{col 34}     1086

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02221{col 33} .01701{col 43}1.3061{col 52}0.192{col 60}-.011119{col 73}  .05554
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05049{col 33} .01701{col 43}2.9694{col 52}0.003{col 60} .017165{col 73} .083824
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05049{col 33} .02237{col 43}2.2574{col 52}0.024{col 60} .006654{col 73} .094336
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-190Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   103360{col 34}    44211{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17361{col 34}    14365{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.606{col 34}    2.606
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.606{col 34}    2.606
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    75510{col 34}    36144
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1098{col 34}     1083

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02409{col 33}  .0172{col 43}1.4006{col 52}0.161{col 60}-.009624{col 73} .057812
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .06009{col 33}  .0172{col 43}3.4926{col 52}0.000{col 60} .026367{col 73} .093803
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .06009{col 33}  .0228{col 43}2.6358{col 52}0.008{col 60} .015406{col 73} .104764
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-180Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   103990{col 34}    43581{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17026{col 34}    14013{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.560{col 34}    2.560
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.560{col 34}    2.560
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    75995{col 34}    35659
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1098{col 34}     1083

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01391{col 33} .01745{col 43}0.7974{col 52}0.425{col 60}-.020284{col 73} .048109
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05551{col 33} .01745{col 43}3.1815{col 52}0.001{col 60} .021314{col 73} .089707
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05551{col 33} .02357{col 43}2.3550{col 52}0.019{col 60} .009311{col 73}  .10171
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-170Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   104589{col 34}    42982{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16962{col 34}    13952{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.564{col 34}    2.564
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.564{col 34}    2.564
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    76452{col 34}    35202
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1098{col 34}     1083

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01071{col 33} .01746{col 43}-0.6132{col 52}0.540{col 60} -.04493{col 73} .023516
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03677{col 33} .01746{col 43}2.1056{col 52}0.035{col 60} .002543{col 73}  .07099
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03677{col 33} .02323{col 43}1.5831{col 52}0.113{col 60}-.008754{col 73} .082287
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-160Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   105236{col 34}    42335{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15913{col 34}    13024{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.407{col 34}    2.407
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.407{col 34}    2.407
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    76945{col 34}    34709
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1077

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01045{col 33} .01819{col 43}-0.5743{col 52}0.566{col 60}-.046096{col 73} .025203
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04232{col 33} .01819{col 43}2.3266{col 52}0.020{col 60} .006668{col 73} .077967
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04232{col 33} .02389{col 43}1.7714{col 52}0.076{col 60}-.004505{col 73}  .08914
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-150Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   105825{col 34}    41746{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15991{col 34}    13046{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.430{col 34}    2.430
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.430{col 34}    2.430
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    77383{col 34}    34271
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1074

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0112{col 33} .01808{col 43}-0.6197{col 52}0.535{col 60}-.046637{col 73} .024229
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .06464{col 33} .01808{col 43}3.5756{col 52}0.000{col 60} .029209{col 73} .100076
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .06464{col 33}  .0235{col 43}2.7507{col 52}0.006{col 60} .018583{col 73} .110702
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-140Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   106461{col 34}    41110{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15793{col 34}    12800{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.409{col 34}    2.409
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.409{col 34}    2.409
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    77862{col 34}    33792
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1098{col 34}     1071

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03066{col 33} .01835{col 43}-1.6711{col 52}0.095{col 60}-.066623{col 73}   .0053
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05774{col 33} .01835{col 43}3.1472{col 52}0.002{col 60} .021783{col 73} .093705
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05774{col 33} .02311{col 43}2.4984{col 52}0.012{col 60} .012444{col 73} .103044
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-130Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   107035{col 34}    40536{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15714{col 34}    12722{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.414{col 34}    2.414
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.414{col 34}    2.414
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    78303{col 34}    33351
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1098{col 34}     1066

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0629{col 33}  .0186{col 43}-3.3825{col 52}0.001{col 60}-.099345{col 73}-.026453
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00147{col 33}  .0186{col 43}0.0792{col 52}0.937{col 60}-.034974{col 73} .037918
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00147{col 33} .02401{col 43}0.0613{col 52}0.951{col 60}-.045583{col 73} .048527
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-120Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   107622{col 34}    39949{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15515{col 34}    12488{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.392{col 34}    2.392
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.392{col 34}    2.392
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    78742{col 34}    32912
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1098{col 34}     1071

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09373{col 33} .01868{col 43}-5.0166{col 52}0.000{col 60}-.130352{col 73}-.057111
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05474{col 33} .01868{col 43}-2.9296{col 52}0.003{col 60}-.091358{col 73}-.018117
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05474{col 33} .02416{col 43}-2.2657{col 52}0.023{col 60}-.102088{col 73}-.007387
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-110Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108210{col 34}    39361{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15639{col 34}    12533{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.426{col 34}    2.426
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.426{col 34}    2.426
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    79192{col 34}    32462
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1074

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.10853{col 33} .01805{col 43}-6.0136{col 52}0.000{col 60}-.143898{col 73}-.073156
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.07751{col 33} .01805{col 43}-4.2952{col 52}0.000{col 60}-.112886{col 73}-.042143
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.07751{col 33} .02361{col 43}-3.2834{col 52}0.001{col 60}-.123786{col 73}-.031244
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-100Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108812{col 34}    38759{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16259{col 34}    12879{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.529{col 34}    2.529
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.529{col 34}    2.529
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    79640{col 34}    32014
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1082

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07956{col 33}  .0177{col 43}-4.4947{col 52}0.000{col 60}-.114253{col 73}-.044867
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03761{col 33}  .0177{col 43}-2.1246{col 52}0.034{col 60}  -.0723{col 73}-.002914
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03761{col 33} .02283{col 43}-1.6474{col 52}0.099{col 60} -.08235{col 73} .007136
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-90Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   109420{col 34}    38151{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17282{col 34}    13423{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.688{col 34}    2.688
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.688{col 34}    2.688
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    80118{col 34}    31536
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1086

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05343{col 33} .01713{col 43}-3.1189{col 52}0.002{col 60}-.087007{col 73}-.019854
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05216{col 33} .01713{col 43}-3.0450{col 52}0.002{col 60} -.08574{col 73}-.018587
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05216{col 33} .02283{col 43}-2.2853{col 52}0.022{col 60}-.096902{col 73}-.007425
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-80Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   110015{col 34}    37556{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18112{col 34}    13882{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.820{col 34}    2.820
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.820{col 34}    2.820
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    80580{col 34}    31074
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1089

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03595{col 33}  .0167{col 43}-2.1531{col 52}0.031{col 60}-.068681{col 73}-.003226
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06425{col 33}  .0167{col 43}-3.8479{col 52}0.000{col 60}-.096979{col 73}-.031524
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06425{col 33} .02225{col 43}-2.8876{col 52}0.004{col 60}-.107863{col 73} -.02064
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-70Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   110590{col 34}    36981{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19470{col 34}    14651{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.041{col 34}    3.041
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.041{col 34}    3.041
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    81033{col 34}    30621
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1096

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  -.011{col 33} .01632{col 43}-0.6740{col 52}0.500{col 60}-.042991{col 73} .020989
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05733{col 33} .01632{col 43}-3.5126{col 52}0.000{col 60}-.089322{col 73}-.025342
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05733{col 33} .02127{col 43}-2.6957{col 52}0.007{col 60}-.099017{col 73}-.015647
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-60Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   111144{col 34}    36427{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21274{col 34}    15587{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.324{col 34}    3.324
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.324{col 34}    3.324
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    81455{col 34}    30199
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1096

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00874{col 33} .01574{col 43}0.5553{col 52}0.579{col 60}-.022112{col 73} .039596
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.07304{col 33} .01574{col 43}-4.6400{col 52}0.000{col 60}-.103898{col 73} -.04219
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.07304{col 33} .02017{col 43}-3.6207{col 52}0.000{col 60}-.112585{col 73}-.033503
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-50Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   111767{col 34}    35804{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    23970{col 34}    16885{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.738{col 34}    3.738
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.738{col 34}    3.738
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    81931{col 34}    29723
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1098

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05575{col 33} .01519{col 43}3.6700{col 52}0.000{col 60} .025976{col 73} .085522
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0229{col 33} .01519{col 43}-1.5076{col 52}0.132{col 60}-.052675{col 73} .006871
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0229{col 33} .01957{col 43}-1.1705{col 52}0.242{col 60}-.061252{col 73} .015448
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-40Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   112330{col 34}    35241{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28990{col 34}    19130{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.506{col 34}    4.506
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.506{col 34}    4.506
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    82378{col 34}    29276
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1099

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .10802{col 33} .01443{col 43}7.4849{col 52}0.000{col 60} .079732{col 73} .136302
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}   .062{col 33} .01443{col 43}4.2961{col 52}0.000{col 60} .033714{col 73} .090284
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}   .062{col 33} .01828{col 43}3.3909{col 52}0.001{col 60} .026163{col 73} .097834
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-30Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   112903{col 34}    34668{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36570{col 34}    21855{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.657{col 34}    5.657
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.657{col 34}    5.657
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    82840{col 34}    28814
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .15963{col 33} .01315{col 43}12.1363{col 52}0.000{col 60} .133848{col 73} .185405
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .12178{col 33} .01315{col 43}9.2587{col 52}0.000{col 60} .095999{col 73} .147557
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .12178{col 33}  .0173{col 43}7.0401{col 52}0.000{col 60} .087875{col 73} .155681
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-20Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113472{col 34}    34099{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    41596{col 34}    23266{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.440{col 34}    6.440
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.440{col 34}    6.440
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83315{col 34}    28339
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .18267{col 33}  .0126{col 43}14.4987{col 52}0.000{col 60} .157974{col 73} .207361
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .17705{col 33}  .0126{col 43}14.0531{col 52}0.000{col 60} .152361{col 73} .201748
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .17705{col 33} .01651{col 43}10.7209{col 52}0.000{col 60} .144686{col 73} .209423
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-10Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    40232{col 34}    22854{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.283{col 34}    6.283
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.283{col 34}    6.283
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .18755{col 33} .01271{col 43}14.7557{col 52}0.000{col 60} .162637{col 73} .212461
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .18963{col 33} .01271{col 43}14.9196{col 52}0.000{col 60}  .16472{col 73} .214543
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .18963{col 33} .01688{col 43}11.2365{col 52}0.000{col 60} .156554{col 73} .222709
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake0Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114029{col 34}    33542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    38408{col 34}    22306{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.062{col 34}    6.062
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.062{col 34}    6.062
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83842{col 34}    27812
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .17618{col 33} .01292{col 43}13.6400{col 52}0.000{col 60} .150861{col 73} .201491
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .16565{col 33} .01292{col 43}12.8248{col 52}0.000{col 60} .140332{col 73} .190962
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .16565{col 33} .01724{col 43}9.6110{col 52}0.000{col 60} .131867{col 73} .199427
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake10Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114566{col 34}    33005{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    35432{col 34}    21063{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.635{col 34}    5.635
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.635{col 34}    5.635
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    84292{col 34}    27362
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .1217{col 33} .01359{col 43}8.9582{col 52}0.000{col 60} .095077{col 73} .148332
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08651{col 33} .01359{col 43}6.3679{col 52}0.000{col 60} .059885{col 73}  .11314
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08651{col 33} .01752{col 43}4.9392{col 52}0.000{col 60} .052183{col 73} .120843
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake20Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   115121{col 34}    32450{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31855{col 34}    19550{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.119{col 34}    5.119
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.119{col 34}    5.119
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    84749{col 34}    26905
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .08688{col 33} .01414{col 43}6.1426{col 52}0.000{col 60} .059157{col 73} .114598
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03274{col 33} .01414{col 43}2.3151{col 52}0.021{col 60} .005023{col 73} .060464
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03274{col 33} .01809{col 43}1.8104{col 52}0.070{col 60}-.002706{col 73} .068193
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake30Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   115649{col 34}    31922{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28641{col 34}    18142{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.651{col 34}    4.651
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.651{col 34}    4.651
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    85182{col 34}    26472
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1100

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05026{col 33} .01455{col 43}3.4551{col 52}0.001{col 60} .021749{col 73} .078772
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0195{col 33} .01455{col 43}-1.3402{col 52}0.180{col 60}-.048008{col 73} .009015
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0195{col 33} .01902{col 43}-1.0251{col 52}0.305{col 60}-.056772{col 73} .017779
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake40Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   116196{col 34}    31375{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27241{col 34}    17360{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.463{col 34}    4.463
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.463{col 34}    4.463
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    85608{col 34}    26046
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1100

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00991{col 33} .01471{col 43}0.6735{col 52}0.501{col 60}-.018922{col 73} .038734
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06324{col 33} .01471{col 43}-4.2994{col 52}0.000{col 60}-.092067{col 73} -.03441
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06324{col 33} .01943{col 43}-3.2539{col 52}0.001{col 60}-.101329{col 73}-.025148
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake50Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   116684{col 34}    30887{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25742{col 34}    16640{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.267{col 34}    4.267
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.267{col 34}    4.267
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    85998{col 34}    25656
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1100

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01246{col 33} .01513{col 43}-0.8232{col 52}0.410{col 60}-.042119{col 73} .017202
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.08007{col 33} .01513{col 43}-5.2911{col 52}0.000{col 60}-.109732{col 73}-.050411
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.08007{col 33} .01986{col 43}-4.0316{col 52}0.000{col 60}-.118998{col 73}-.041144
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake60Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   117194{col 34}    30377{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25338{col 34}    16292{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.228{col 34}    4.228
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.228{col 34}    4.228
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    86403{col 34}    25251
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1100

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01317{col 33} .01542{col 43}-0.8538{col 52}0.393{col 60}-.043391{col 73} .017058
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05852{col 33} .01542{col 43}-3.7949{col 52}0.000{col 60}-.088745{col 73}-.028296
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05852{col 33} .02009{col 43}-2.9132{col 52}0.004{col 60}-.097893{col 73}-.019148
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake70Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   117688{col 34}    29883{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24227{col 34}    15716{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.098{col 34}    4.098
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.098{col 34}    4.098
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    86808{col 34}    24846
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1098{col 34}     1100

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03482{col 33}  .0158{col 43}-2.2044{col 52}0.027{col 60} -.06578{col 73}-.003861
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05487{col 33}  .0158{col 43}-3.4739{col 52}0.001{col 60}-.085832{col 73}-.023913
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05487{col 33} .02022{col 43}-2.7143{col 52}0.007{col 60}-.094496{col 73} -.01525
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake80Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   118235{col 34}    29336{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24020{col 34}    15367{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.083{col 34}    4.083
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.083{col 34}    4.083
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    87247{col 34}    24407
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1100

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06345{col 33}   .016{col 43}-3.9660{col 52}0.000{col 60}-.094813{col 73}-.032096
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.08057{col 33}   .016{col 43}-5.0358{col 52}0.000{col 60}-.111929{col 73}-.049212
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.08057{col 33} .02041{col 43}-3.9473{col 52}0.000{col 60}-.120577{col 73}-.040564
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake90Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   118721{col 34}    28850{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    23510{col 34}    15038{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.036{col 34}    4.036
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.036{col 34}    4.036
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    87620{col 34}    24034
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1100

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07182{col 33} .01609{col 43}-4.4637{col 52}0.000{col 60}-.103362{col 73}-.040287
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.07823{col 33} .01609{col 43}-4.8620{col 52}0.000{col 60}-.109771{col 73}-.046696
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.07823{col 33} .02027{col 43}-3.8604{col 52}0.000{col 60}-.117954{col 73}-.038513
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake100Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   119214{col 34}    28357{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    23329{col 34}    14779{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.037{col 34}    4.037
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.037{col 34}    4.037
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    88013{col 34}    23641
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1100

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06571{col 33} .01626{col 43}-4.0420{col 52}0.000{col 60}-.097573{col 73}-.033847
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04041{col 33} .01626{col 43}-2.4858{col 52}0.013{col 60}-.072273{col 73}-.008548
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04041{col 33} .02031{col 43}-1.9897{col 52}0.047{col 60}-.080217{col 73}-.000604
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake110Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   119700{col 34}    27871{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    22756{col 34}    14404{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.975{col 34}    3.975
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.975{col 34}    3.975
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    88400{col 34}    23254
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1100

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0758{col 33} .01647{col 43}-4.6013{col 52}0.000{col 60}-.108088{col 73}-.043512
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04119{col 33} .01647{col 43}-2.5002{col 52}0.012{col 60}-.073475{col 73}  -.0089
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04119{col 33} .02087{col 43}-1.9736{col 52}0.048{col 60}-.082091{col 73}-.000284
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake120Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   120154{col 34}    27417{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21985{col 34}    13999{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.890{col 34}    3.890
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.890{col 34}    3.890
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    88764{col 34}    22890
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1100

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0865{col 33} .01656{col 43}-5.2226{col 52}0.000{col 60}-.118961{col 73}-.054037
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05092{col 33} .01656{col 43}-3.0747{col 52}0.002{col 60}-.083386{col 73}-.018462
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05092{col 33} .02131{col 43}-2.3897{col 52}0.017{col 60}-.092691{col 73}-.009158
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake130Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   120625{col 34}    26946{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21284{col 34}    13578{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.815{col 34}    3.815
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.815{col 34}    3.815
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    89153{col 34}    22501
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1095{col 34}     1100

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09429{col 33} .01656{col 43}-5.6932{col 52}0.000{col 60}-.126756{col 73}-.061832
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04891{col 33} .01656{col 43}-2.9530{col 52}0.003{col 60} -.08137{col 73}-.016446
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04891{col 33} .02131{col 43}-2.2952{col 52}0.022{col 60}-.090673{col 73}-.007144
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake140Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   121053{col 34}    26518{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21561{col 34}    13548{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.889{col 34}    3.889
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.889{col 34}    3.889
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    89507{col 34}    22147
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1095{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07669{col 33} .01659{col 43}-4.6232{col 52}0.000{col 60}-.109207{col 73} -.04418
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01345{col 33} .01659{col 43}-0.8110{col 52}0.417{col 60}-.045967{col 73}  .01906
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01345{col 33} .02114{col 43}-0.6365{col 52}0.524{col 60}-.054885{col 73} .027977
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake150Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   121543{col 34}    26028{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    23149{col 34}    13923{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.159{col 34}    4.159
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.159{col 34}    4.159
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    89896{col 34}    21758
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.08476{col 33} .01629{col 43}-5.2021{col 52}0.000{col 60}-.116688{col 73}-.052823
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01402{col 33} .01629{col 43}-0.8603{col 52}0.390{col 60} -.04595{col 73} .017915
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01402{col 33} .02046{col 43}-0.6851{col 52}0.493{col 60}-.054117{col 73} .026083
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake160Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122029{col 34}    25542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    22919{col 34}    13633{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.152{col 34}    4.152
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.152{col 34}    4.152
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    90286{col 34}    21368
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07065{col 33} .01651{col 43}-4.2782{col 52}0.000{col 60}-.103011{col 73}-.038281
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01545{col 33} .01651{col 43}0.9359{col 52}0.349{col 60}-.016911{col 73} .047819
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01545{col 33} .02073{col 43}0.7454{col 52}0.456{col 60}-.025182{col 73}  .05609
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake170Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122463{col 34}    25108{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21775{col 34}    13098{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.006{col 34}    4.006
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.006{col 34}    4.006
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    90634{col 34}    21020
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1094{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.08128{col 33} .01681{col 43}-4.8339{col 52}0.000{col 60}-.114231{col 73}-.048322
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01051{col 33} .01681{col 43}0.6253{col 52}0.532{col 60}-.022441{col 73} .043468
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01051{col 33} .02102{col 43}0.5002{col 52}0.617{col 60}-.030687{col 73} .051714
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake180Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122907{col 34}    24664{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21756{col 34}    12939{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.033{col 34}    4.033
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.033{col 34}    4.033
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    90994{col 34}    20660
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1090{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07424{col 33} .01684{col 43}-4.4088{col 52}0.000{col 60} -.10725{col 73}-.041238
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01644{col 33} .01684{col 43}0.9760{col 52}0.329{col 60} -.01657{col 73} .049443
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01644{col 33} .02117{col 43}0.7763{col 52}0.438{col 60} -.02506{col 73} .057933
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake190Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   123367{col 34}    24204{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    22569{col 34}    13011{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.187{col 34}    4.187
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.187{col 34}    4.187
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    91367{col 34}    20287
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1093{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06604{col 33} .01675{col 43}-3.9436{col 52}0.000{col 60}-.098869{col 73} -.03322
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0212{col 33} .01675{col 43}1.2661{col 52}0.205{col 60}-.011621{col 73} .054028
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0212{col 33} .02159{col 43}0.9823{col 52}0.326{col 60}-.021103{col 73}  .06351
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake200Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   123805{col 34}    23766{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    22328{col 34}    12808{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.186{col 34}    4.186
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.186{col 34}    4.186
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    91716{col 34}    19938
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1090{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05819{col 33} .01643{col 43}-3.5428{col 52}0.000{col 60}-.090387{col 73}-.025999
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03672{col 33} .01643{col 43}2.2357{col 52}0.025{col 60} .004529{col 73} .068916
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03672{col 33} .02146{col 43}1.7108{col 52}0.087{col 60}-.005348{col 73} .078793
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake210Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   124258{col 34}    23313{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24010{col 34}    13124{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.473{col 34}    4.473
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.473{col 34}    4.473
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    92074{col 34}    19580
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1095{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04425{col 33} .01611{col 43}-2.7463{col 52}0.006{col 60}-.075835{col 73}-.012671
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04496{col 33} .01611{col 43}2.7904{col 52}0.005{col 60} .013382{col 73} .076546
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04496{col 33} .02071{col 43}2.1714{col 52}0.030{col 60} .004377{col 73} .085551
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake220Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   124667{col 34}    22904{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24377{col 34}    13096{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.566{col 34}    4.566
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.566{col 34}    4.566
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    92395{col 34}    19259
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1095{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03595{col 33} .01603{col 43}-2.2422{col 52}0.025{col 60}-.067376{col 73}-.004526
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04893{col 33} .01603{col 43}3.0516{col 52}0.002{col 60} .017502{col 73} .080353
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04893{col 33} .02108{col 43}2.3207{col 52}0.020{col 60} .007605{col 73}  .09025
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake230Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125083{col 34}    22488{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25230{col 34}    13164{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.738{col 34}    4.738
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.738{col 34}    4.738
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    92722{col 34}    18932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1095{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0315{col 33} .01588{col 43}-1.9828{col 52}0.047{col 60}-.062628{col 73}-.000363
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .06384{col 33} .01588{col 43}4.0191{col 52}0.000{col 60} .032708{col 73} .094972
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .06384{col 33} .02103{col 43}3.0350{col 52}0.002{col 60} .022613{col 73} .105067
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake240Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125474{col 34}    22097{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25140{col 34}    12991{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.760{col 34}    4.760
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.760{col 34}    4.760
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93032{col 34}    18622
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02589{col 33} .01578{col 43}-1.6401{col 52}0.101{col 60}-.056818{col 73} .005048
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .06822{col 33} .01578{col 43}4.3226{col 52}0.000{col 60} .037289{col 73} .099155
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .06822{col 33} .02084{col 43}3.2734{col 52}0.001{col 60} .027373{col 73}  .10907
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake250Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125890{col 34}    21681{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25923{col 34}    12994{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.919{col 34}    4.919
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.919{col 34}    4.919
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93347{col 34}    18307
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01512{col 33} .01574{col 43}-0.9609{col 52}0.337{col 60}-.045973{col 73} .015724
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .07457{col 33} .01574{col 43}4.7377{col 52}0.000{col 60} .043719{col 73} .105416
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .07457{col 33} .02058{col 43}3.6227{col 52}0.000{col 60} .034225{col 73}  .11491
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake260Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   126285{col 34}    21286{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25218{col 34}    12640{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.846{col 34}    4.846
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.846{col 34}    4.846
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93658{col 34}    17996
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01968{col 33} .01594{col 43}-1.2350{col 52}0.217{col 60}-.050916{col 73} .011553
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05397{col 33} .01594{col 43}3.3869{col 52}0.001{col 60}  .02274{col 73} .085209
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05397{col 33} .02078{col 43}2.5975{col 52}0.009{col 60} .013248{col 73} .094702
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake270Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   126643{col 34}    20928{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    23884{col 34}    12202{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.696{col 34}    4.696
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.696{col 34}    4.696
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93937{col 34}    17717
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01153{col 33} .01642{col 43}-0.7021{col 52}0.483{col 60}-.043702{col 73}  .02065
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04576{col 33} .01642{col 43}2.7877{col 52}0.005{col 60} .013589{col 73}  .07794
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04576{col 33} .02106{col 43}2.1733{col 52}0.030{col 60} .004492{col 73} .087037
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake280Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   127014{col 34}    20557{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24706{col 34}    12252{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.865{col 34}    4.865
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.865{col 34}    4.865
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    94240{col 34}    17414
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00823{col 33} .01595{col 43}-0.5163{col 52}0.606{col 60}-.039489{col 73} .023022
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05566{col 33} .01595{col 43}3.4902{col 52}0.000{col 60} .024402{col 73} .086913
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05566{col 33} .02067{col 43}2.6921{col 52}0.007{col 60} .015137{col 73} .096179
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake290Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   127399{col 34}    20172{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24899{col 34}    12112{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.932{col 34}    4.932
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.932{col 34}    4.932
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    94552{col 34}    17102
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1101

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00596{col 33} .01622{col 43}-0.3673{col 52}0.713{col 60}-.037747{col 73} .025833
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04843{col 33} .01622{col 43}2.9859{col 52}0.003{col 60} .016639{col 73} .080219
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04843{col 33} .02083{col 43}2.3255{col 52}0.020{col 60} .007612{col 73} .089246
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake300Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Colombia.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     4848{col 34}     7785{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1434{col 34}     5961{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.352{col 34}    5.352
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.352{col 34}    5.352
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       94{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  -.105{col 33} .04019{col 43}-2.6123{col 52}0.009{col 60}-.183774{col 73}-.026218
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .12562{col 33} .04019{col 43}3.1255{col 52}0.002{col 60} .046847{col 73} .204403
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .12562{col 33} .04943{col 43}2.5414{col 52}0.011{col 60} .028742{col 73} .222508
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-300Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     4901{col 34}     7732{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1429{col 34}     5849{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.123{col 34}    5.123
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.123{col 34}    5.123
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       94{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09115{col 33} .03975{col 43}-2.2930{col 52}0.022{col 60}-.169062{col 73}-.013238
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .15014{col 33} .03975{col 43}3.7770{col 52}0.000{col 60} .072229{col 73} .228054
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .15014{col 33} .05029{col 43}2.9856{col 52}0.003{col 60} .051578{col 73} .248705
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-290Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     4953{col 34}     7680{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1446{col 34}     5792{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.012{col 34}    5.012
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.012{col 34}    5.012
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       94{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09667{col 33} .03525{col 43}-2.7423{col 52}0.006{col 60}-.165763{col 73}-.027579
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .11253{col 33} .03525{col 43}3.1923{col 52}0.001{col 60} .043441{col 73} .181625
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .11253{col 33} .04961{col 43}2.2683{col 52}0.023{col 60} .015298{col 73} .209769
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-280Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5019{col 34}     7614{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1494{col 34}     5771{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.002{col 34}    5.002
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.002{col 34}    5.002
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       94{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.10063{col 33} .03421{col 43}-2.9414{col 52}0.003{col 60}-.167675{col 73}-.033576
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .11063{col 33} .03421{col 43}3.2340{col 52}0.001{col 60} .043584{col 73} .177684
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .11063{col 33} .04927{col 43}2.2457{col 52}0.025{col 60} .014075{col 73} .207193
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-270Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5088{col 34}     7545{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1458{col 34}     5555{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.576{col 34}    4.576
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.576{col 34}    4.576
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       93{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06439{col 33} .03377{col 43}-1.9064{col 52}0.057{col 60}-.130585{col 73} .001808
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .14339{col 33} .03377{col 43}4.2455{col 52}0.000{col 60} .077193{col 73} .209587
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .14339{col 33} .04833{col 43}2.9668{col 52}0.003{col 60} .048663{col 73} .238117
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-260Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5155{col 34}     7478{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1494{col 34}     5506{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.505{col 34}    4.505
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.505{col 34}    4.505
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       93{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06403{col 33} .03327{col 43}-1.9249{col 52}0.054{col 60}-.129235{col 73} .001166
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .15942{col 33} .03327{col 43}4.7922{col 52}0.000{col 60} .094219{col 73}  .22462
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .15942{col 33} .04842{col 43}3.2922{col 52}0.001{col 60} .064511{col 73} .254329
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-250Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5219{col 34}     7414{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1480{col 34}     5337{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.213{col 34}    4.213
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.213{col 34}    4.213
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       93{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03488{col 33}  .0337{col 43}-1.0353{col 52}0.301{col 60}-.100927{col 73} .031159
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .16118{col 33}  .0337{col 43}4.7834{col 52}0.000{col 60} .095138{col 73} .227224
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .16118{col 33} .04682{col 43}3.4424{col 52}0.001{col 60}  .06941{col 73} .252952
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-240Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5301{col 34}     7332{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1513{col 34}     5245{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.099{col 34}    4.099
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.099{col 34}    4.099
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       93{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04382{col 33} .03555{col 43}-1.2324{col 52}0.218{col 60}-.113498{col 73} .025866
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .13524{col 33} .03555{col 43}3.8038{col 52}0.000{col 60} .065554{col 73} .204918
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .13524{col 33} .04767{col 43}2.8372{col 52}0.005{col 60} .041812{col 73} .228659
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-230Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5389{col 34}     7244{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1520{col 34}     5094{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.875{col 34}    3.875
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.875{col 34}    3.875
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03978{col 33} .03571{col 43}-1.1140{col 52}0.265{col 60}-.109777{col 73} .030209
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .14881{col 33} .03571{col 43}4.1669{col 52}0.000{col 60} .078812{col 73} .218798
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .14881{col 33} .04496{col 43}3.3096{col 52}0.001{col 60} .060682{col 73} .236929
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-220Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5488{col 34}     7145{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1514{col 34}     4883{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.584{col 34}    3.584
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.584{col 34}    3.584
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       89

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00464{col 33} .03609{col 43}-0.1286{col 52}0.898{col 60}-.075384{col 73} .066099
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .15685{col 33} .03609{col 43}4.3457{col 52}0.000{col 60} .086108{col 73} .227591
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .15685{col 33} .04393{col 43}3.5703{col 52}0.000{col 60} .070746{col 73} .242954
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-210Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5594{col 34}     7039{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1538{col 34}     4760{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.434{col 34}    3.434
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.434{col 34}    3.434
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       89

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00934{col 33}  .0358{col 43}-0.2609{col 52}0.794{col 60}-.079506{col 73} .060824
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .12725{col 33}  .0358{col 43}3.5544{col 52}0.000{col 60} .057081{col 73} .197411
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .12725{col 33} .03963{col 43}3.2110{col 52}0.001{col 60} .049577{col 73} .204915
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-200Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5717{col 34}     6916{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1572{col 34}     4586{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.229{col 34}    3.229
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.229{col 34}    3.229
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       89

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02372{col 33} .03476{col 43}-0.6823{col 52}0.495{col 60}-.091847{col 73} .044413
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .09813{col 33} .03476{col 43}2.8231{col 52}0.005{col 60} .030003{col 73} .166262
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .09813{col 33} .04265{col 43}2.3008{col 52}0.021{col 60} .014538{col 73} .181727
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-190Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5841{col 34}     6792{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1624{col 34}     4426{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.079{col 34}    3.079
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.079{col 34}    3.079
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       89

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06758{col 33} .03501{col 43}-1.9303{col 52}0.054{col 60}-.136203{col 73} .001038
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .06594{col 33} .03501{col 43}1.8835{col 52}0.060{col 60}-.002679{col 73} .134563
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .06594{col 33} .04394{col 43}1.5007{col 52}0.133{col 60} -.02018{col 73} .152064
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-180Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5971{col 34}     6662{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1695{col 34}     4257{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.931{col 34}    2.931
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.931{col 34}    2.931
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.08439{col 33}  .0339{col 43}-2.4894{col 52}0.013{col 60}-.150826{col 73}-.017947
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04941{col 33}  .0339{col 43}1.4577{col 52}0.145{col 60}-.017026{col 73} .115853
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04941{col 33} .04502{col 43}1.0975{col 52}0.272{col 60}-.038832{col 73}  .13766
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-170Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6091{col 34}     6542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1806{col 34}     4246{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.999{col 34}    2.999
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.999{col 34}    2.999
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.12989{col 33}  .0338{col 43}-3.8427{col 52}0.000{col 60}-.196145{col 73}-.063642
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01634{col 33}  .0338{col 43}0.4834{col 52}0.629{col 60} -.04991{col 73} .082593
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01634{col 33} .04677{col 43}0.3494{col 52}0.727{col 60}-.075326{col 73} .108009
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-160Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6214{col 34}     6419{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1869{col 34}     4117{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.889{col 34}    2.889
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.889{col 34}    2.889
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.13114{col 33} .02995{col 43}-4.3787{col 52}0.000{col 60}-.189845{col 73}-.072442
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01341{col 33} .02995{col 43}0.4476{col 52}0.654{col 60}-.045295{col 73} .072107
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01341{col 33} .04321{col 43}0.3103{col 52}0.756{col 60}-.071281{col 73} .098093
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-150Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6374{col 34}     6259{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1976{col 34}     3957{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.787{col 34}    2.787
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.787{col 34}    2.787
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.13127{col 33} .03002{col 43}-4.3722{col 52}0.000{col 60}-.190121{col 73}-.072427
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  -.003{col 33} .03002{col 43}-0.0999{col 52}0.920{col 60}-.061846{col 73} .055848
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  -.003{col 33} .03976{col 43}-0.0754{col 52}0.940{col 60}-.080932{col 73} .074934
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-140Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6527{col 34}     6106{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2093{col 34}     3839{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.765{col 34}    2.765
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.765{col 34}    2.765
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.1195{col 33} .03086{col 43}-3.8726{col 52}0.000{col 60}-.179985{col 73}-.059022
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01357{col 33} .03086{col 43}0.4397{col 52}0.660{col 60}-.046913{col 73}  .07405
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01357{col 33} .04002{col 43}0.3390{col 52}0.735{col 60}-.064876{col 73} .092013
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-130Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6681{col 34}     5952{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2224{col 34}     3765{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.797{col 34}    2.797
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.797{col 34}    2.797
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.1338{col 33} .03172{col 43}-4.2176{col 52}0.000{col 60}-.195975{col 73}-.071621
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00431{col 33} .03172{col 43}-0.1359{col 52}0.892{col 60}-.066489{col 73} .057865
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00431{col 33}  .0413{col 43}-0.1044{col 52}0.917{col 60} -.08526{col 73} .076636
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-120Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6860{col 34}     5773{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2362{col 34}     3623{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.774{col 34}    2.774
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.774{col 34}    2.774
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       88

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.11887{col 33} .03161{col 43}-3.7609{col 52}0.000{col 60}-.180816{col 73}-.056921
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00653{col 33} .03161{col 43}-0.2066{col 52}0.836{col 60}-.068478{col 73} .055417
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00653{col 33} .03926{col 43}-0.1664{col 52}0.868{col 60} -.08347{col 73} .070408
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-110Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7040{col 34}     5593{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2522{col 34}     3521{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.830{col 34}    2.830
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.830{col 34}    2.830
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       89

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.10694{col 33} .03105{col 43}-3.4437{col 52}0.001{col 60}-.167802{col 73}-.046076
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05086{col 33} .03105{col 43}-1.6379{col 52}0.101{col 60}-.111724{col 73} .010002
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05086{col 33} .03881{col 43}-1.3106{col 52}0.190{col 60}-.126923{col 73} .025201
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-100Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7234{col 34}     5399{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2693{col 34}     3405{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.865{col 34}    2.865
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.865{col 34}    2.865
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       89

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06575{col 33} .03064{col 43}-2.1457{col 52}0.032{col 60}-.125801{col 73} -.00569
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01884{col 33} .03064{col 43}-0.6148{col 52}0.539{col 60}-.078892{col 73} .041218
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01884{col 33} .03488{col 43}-0.5401{col 52}0.589{col 60}-.087195{col 73} .049521
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-90Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7432{col 34}     5201{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2914{col 34}     3319{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.027{col 34}    3.027
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.027{col 34}    3.027
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04196{col 33} .03143{col 43}-1.3352{col 52}0.182{col 60}-.103556{col 73} .019634
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03017{col 33} .03143{col 43}-0.9601{col 52}0.337{col 60}-.091767{col 73} .031423
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03017{col 33} .03416{col 43}-0.8834{col 52}0.377{col 60}-.097115{col 73} .036772
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-80Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7667{col 34}     4966{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3149{col 34}     3167{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.128{col 34}    3.128
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.128{col 34}    3.128
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04003{col 33} .02986{col 43}-1.3404{col 52}0.180{col 60}-.098564{col 73} .018502
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0942{col 33} .02986{col 43}-3.1543{col 52}0.002{col 60}-.152733{col 73}-.035667
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0942{col 33} .03453{col 43}-2.7280{col 52}0.006{col 60}-.161879{col 73} -.02652
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-70Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7883{col 34}     4750{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3449{col 34}     3074{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.462{col 34}    3.462
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.462{col 34}    3.462
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       90

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01868{col 33} .02973{col 43}0.6284{col 52}0.530{col 60}-.039588{col 73} .076957
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05337{col 33} .02973{col 43}-1.7951{col 52}0.073{col 60}-.111642{col 73} .004902
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05337{col 33} .03582{col 43}-1.4899{col 52}0.136{col 60}-.123576{col 73} .016836
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-60Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8073{col 34}     4560{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3749{col 34}     3034{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.972{col 34}    3.972
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.972{col 34}    3.972
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .07331{col 33} .02906{col 43}2.5226{col 52}0.012{col 60} .016351{col 73} .130271
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0082{col 33} .02906{col 43}-0.2822{col 52}0.778{col 60}-.065161{col 73} .048759
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0082{col 33} .03518{col 43}-0.2331{col 52}0.816{col 60}-.077146{col 73} .060744
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-50Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8256{col 34}     4377{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4018{col 34}     2954{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.376{col 34}    4.376
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.376{col 34}    4.376
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .12223{col 33} .02759{col 43}4.4309{col 52}0.000{col 60} .068161{col 73} .176293
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01486{col 33} .02759{col 43}0.5389{col 52}0.590{col 60}-.039202{col 73} .068931
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01486{col 33} .03409{col 43}0.4361{col 52}0.663{col 60}-.051943{col 73} .081671
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-40Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8467{col 34}     4166{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4301{col 34}     2812{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.749{col 34}    4.749
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.749{col 34}    4.749
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .17873{col 33} .02656{col 43}6.7300{col 52}0.000{col 60} .126679{col 73}  .23078
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .06728{col 33} .02656{col 43}2.5334{col 52}0.011{col 60} .015229{col 73} .119331
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .06728{col 33} .03426{col 43}1.9638{col 52}0.050{col 60}  .00013{col 73} .134429
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-30Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8650{col 34}     3983{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4796{col 34}     2824{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.943{col 34}    5.943
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.943{col 34}    5.943
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .25141{col 33} .02593{col 43}9.6949{col 52}0.000{col 60} .200586{col 73} .302239
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .18121{col 33} .02593{col 43}6.9878{col 52}0.000{col 60} .130385{col 73} .232039
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .18121{col 33} .03424{col 43}5.2926{col 52}0.000{col 60} .114105{col 73} .248319
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-20Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8814{col 34}     3819{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4950{col 34}     2677{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.991{col 34}    5.991
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.991{col 34}    5.991
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .26629{col 33} .02595{col 43}10.2599{col 52}0.000{col 60} .215417{col 73} .317156
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .19387{col 33} .02595{col 43}7.4699{col 52}0.000{col 60} .143005{col 73} .244743
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .19387{col 33} .03375{col 43}5.7451{col 52}0.000{col 60} .127734{col 73} .260015
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-10Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5095{col 34}     2529{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.034{col 34}    6.034
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.034{col 34}    6.034
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .27483{col 33} .02561{col 43}10.7312{col 52}0.000{col 60} .224632{col 73} .325021
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .21015{col 33} .02561{col 43}8.2057{col 52}0.000{col 60} .159953{col 73} .260343
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .21015{col 33} .03218{col 43}6.5296{col 52}0.000{col 60} .147069{col 73} .273227
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake0Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9116{col 34}     3517{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5063{col 34}     2343{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.544{col 34}    5.544
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.544{col 34}    5.544
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .23746{col 33} .03024{col 43}7.8515{col 52}0.000{col 60}  .17818{col 73} .296733
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .15795{col 33} .03024{col 43}5.2225{col 52}0.000{col 60} .098672{col 73} .217224
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .15795{col 33} .03916{col 43}4.0335{col 52}0.000{col 60} .081198{col 73} .234698
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake10Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9253{col 34}     3380{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5061{col 34}     2167{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.159{col 34}    5.159
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.159{col 34}    5.159
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .20171{col 33} .03161{col 43}6.3823{col 52}0.000{col 60} .139769{col 73}  .26366
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .11912{col 33} .03161{col 43}3.7691{col 52}0.000{col 60} .057178{col 73} .181068
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .11912{col 33} .04177{col 43}2.8517{col 52}0.004{col 60}  .03725{col 73} .200995
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake20Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9386{col 34}     3247{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5101{col 34}     2010{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.898{col 34}    4.898
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.898{col 34}    4.898
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .15915{col 33} .03091{col 43}5.1496{col 52}0.000{col 60} .098578{col 73} .219728
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .07513{col 33} .03091{col 43}2.4310{col 52}0.015{col 60} .014558{col 73} .135708
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .07513{col 33} .04249{col 43}1.7683{col 52}0.077{col 60}-.008142{col 73} .158409
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake30Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9525{col 34}     3108{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5023{col 34}     1783{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.263{col 34}    4.263
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.263{col 34}    4.263
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05489{col 33} .03505{col 43}1.5662{col 52}0.117{col 60}  -.0138{col 73} .123587
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06953{col 33} .03505{col 43}-1.9839{col 52}0.047{col 60}-.138227{col 73}-.000839
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06953{col 33} .04706{col 43}-1.4774{col 52}0.140{col 60}-.161776{col 73} .022711
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake40Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9621{col 34}     3012{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5066{col 34}     1698{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.212{col 34}    4.212
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.212{col 34}    4.212
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00457{col 33} .03646{col 43}-0.1254{col 52}0.900{col 60}-.076033{col 73} .066886
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.13783{col 33} .03646{col 43}-3.7803{col 52}0.000{col 60}-.209288{col 73} -.06637
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.13783{col 33} .04891{col 43}-2.8179{col 52}0.005{col 60}-.233693{col 73}-.041965
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake50Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9719{col 34}     2914{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5028{col 34}     1573{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.927{col 34}    3.927
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.927{col 34}    3.927
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0304{col 33} .03735{col 43}-0.8141{col 52}0.416{col 60}-.103604{col 73} .042794
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.13524{col 33} .03735{col 43}-3.6211{col 52}0.000{col 60}-.208438{col 73} -.06204
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.13524{col 33}  .0532{col 43}-2.5421{col 52}0.011{col 60}-.239508{col 73}-.030971
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake60Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9809{col 34}     2824{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5024{col 34}     1484{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.832{col 34}    3.832
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.832{col 34}    3.832
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03755{col 33} .04068{col 43}-0.9231{col 52}0.356{col 60}-.117274{col 73} .042179
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.10581{col 33} .04068{col 43}-2.6012{col 52}0.009{col 60}-.185538{col 73}-.026084
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.10581{col 33} .05522{col 43}-1.9161{col 52}0.055{col 60}-.214046{col 73} .002424
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake70Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9914{col 34}     2719{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5076{col 34}     1389{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.817{col 34}    3.817
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.817{col 34}    3.817
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09467{col 33} .04434{col 43}-2.1350{col 52}0.033{col 60}-.181586{col 73}-.007762
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.14599{col 33} .04434{col 43}-3.2922{col 52}0.001{col 60}-.232899{col 73}-.059075
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.14599{col 33} .05988{col 43}-2.4382{col 52}0.015{col 60}-.263342{col 73}-.028633
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake80Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9983{col 34}     2650{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5021{col 34}     1314{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.687{col 34}    3.687
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.687{col 34}    3.687
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.11121{col 33} .04365{col 43}-2.5478{col 52}0.011{col 60}-.196769{col 73}-.025661
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.10579{col 33} .04365{col 43}-2.4236{col 52}0.015{col 60}-.191347{col 73}-.020239
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.10579{col 33} .05798{col 43}-1.8247{col 52}0.068{col 60}-.219431{col 73} .007845
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake90Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10055{col 34}     2578{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4938{col 34}     1239{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.550{col 34}    3.550
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.550{col 34}    3.550
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.16225{col 33} .04475{col 43}-3.6255{col 52}0.000{col 60}-.249963{col 73}-.074538
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.12859{col 33} .04475{col 43}-2.8734{col 52}0.004{col 60}-.216303{col 73}-.040878
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.12859{col 33}  .0569{col 43}-2.2598{col 52}0.024{col 60}-.240117{col 73}-.017063
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake100Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10141{col 34}     2492{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5042{col 34}     1188{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.686{col 34}    3.686
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.686{col 34}    3.686
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.16034{col 33} .04895{col 43}-3.2756{col 52}0.001{col 60}-.256276{col 73}-.064398
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.08123{col 33} .04895{col 43}-1.6594{col 52}0.097{col 60}-.177166{col 73} .014712
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.08123{col 33} .05962{col 43}-1.3623{col 52}0.173{col 60}-.198088{col 73} .035634
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake110Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10215{col 34}     2418{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4977{col 34}     1109{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.575{col 34}    3.575
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.575{col 34}    3.575
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.23857{col 33}  .0508{col 43}-4.6961{col 52}0.000{col 60}-.338136{col 73}-.138998
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.13786{col 33}  .0508{col 43}-2.7136{col 52}0.007{col 60}-.237424{col 73}-.038286
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.13786{col 33} .06055{col 43}-2.2769{col 52}0.023{col 60}-.256522{col 73}-.019188
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake120Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10279{col 34}     2354{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5008{col 34}     1081{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.632{col 34}    3.632
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.632{col 34}    3.632
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.22028{col 33} .05362{col 43}-4.1078{col 52}0.000{col 60}-.325377{col 73}-.115176
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06908{col 33} .05362{col 43}-1.2882{col 52}0.198{col 60}-.174178{col 73} .036023
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06908{col 33} .06241{col 43}-1.1068{col 52}0.268{col 60}-.191406{col 73}  .05325
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake130Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10337{col 34}     2296{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4938{col 34}     1030{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.589{col 34}    3.589
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.589{col 34}    3.589
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.26508{col 33} .05547{col 43}-4.7784{col 52}0.000{col 60} -.37381{col 73}-.156354
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.09948{col 33} .05547{col 43}-1.7933{col 52}0.073{col 60} -.20821{col 73} .009246
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.09948{col 33} .06614{col 43}-1.5041{col 52}0.133{col 60}-.229115{col 73} .030152
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake140Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10380{col 34}     2253{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4861{col 34}     1002{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.571{col 34}    3.571
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.571{col 34}    3.571
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.25446{col 33} .05494{col 43}-4.6315{col 52}0.000{col 60}-.362145{col 73}-.146777
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02537{col 33} .05494{col 43}-0.4618{col 52}0.644{col 60}-.133055{col 73} .082313
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02537{col 33} .06449{col 43}-0.3934{col 52}0.694{col 60}-.151776{col 73} .101034
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake150Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10449{col 34}     2184{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5167{col 34}      994{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.917{col 34}    3.917
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.917{col 34}    3.917
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.20125{col 33} .05749{col 43}-3.5006{col 52}0.000{col 60}-.313937{col 73}-.088573
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03752{col 33} .05749{col 43}0.6526{col 52}0.514{col 60}-.075165{col 73} .150199
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03752{col 33} .06618{col 43}0.5669{col 52}0.571{col 60}-.092185{col 73}  .16722
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake160Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10495{col 34}     2138{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5193{col 34}      975{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.998{col 34}    3.998
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.998{col 34}    3.998
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.17521{col 33} .05792{col 43}-3.0250{col 52}0.002{col 60}-.288737{col 73}-.061687
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .10337{col 33} .05792{col 43}1.7846{col 52}0.074{col 60}-.010158{col 73} .216892
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .10337{col 33} .06722{col 43}1.5377{col 52}0.124{col 60}-.028389{col 73} .235123
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake170Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10547{col 34}     2086{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5077{col 34}      926{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.920{col 34}    3.920
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.920{col 34}    3.920
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.2098{col 33} .05757{col 43}-3.6444{col 52}0.000{col 60}-.322634{col 73}-.096968
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .07128{col 33} .05757{col 43}1.2382{col 52}0.216{col 60}-.041554{col 73} .184112
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .07128{col 33} .06605{col 43}1.0791{col 52}0.281{col 60}-.058182{col 73}  .20074
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake180Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10599{col 34}     2034{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5273{col 34}      911{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.174{col 34}    4.174
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.174{col 34}    4.174
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       91

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.22568{col 33} .05642{col 43}-3.9999{col 52}0.000{col 60}-.336256{col 73}-.115095
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00935{col 33} .05642{col 43}0.1657{col 52}0.868{col 60}-.101229{col 73} .119932
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00935{col 33} .06466{col 43}0.1446{col 52}0.885{col 60}-.117386{col 73} .136089
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake190Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10659{col 34}     1974{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5388{col 34}      873{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.331{col 34}    4.331
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.331{col 34}    4.331
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.18836{col 33}  .0579{col 43}-3.2532{col 52}0.001{col 60}-.301847{col 73}-.074879
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03111{col 33}  .0579{col 43}0.5373{col 52}0.591{col 60}-.082376{col 73} .144592
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03111{col 33}  .0711{col 43}0.4375{col 52}0.662{col 60}-.108251{col 73} .170466
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake200Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10695{col 34}     1938{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5318{col 34}      841{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.312{col 34}    4.312
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.312{col 34}    4.312
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       92

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.1812{col 33} .05716{col 43}-3.1703{col 52}0.002{col 60}-.293221{col 73}-.069176
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05543{col 33} .05716{col 43}0.9697{col 52}0.332{col 60}-.056596{col 73} .167449
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05543{col 33} .07121{col 43}0.7784{col 52}0.436{col 60}-.084142{col 73} .194994
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake210Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10739{col 34}     1894{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5347{col 34}      813{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.397{col 34}    4.397
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.397{col 34}    4.397
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       93

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.13822{col 33} .05768{col 43}-2.3965{col 52}0.017{col 60} -.25126{col 73}-.025175
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .13524{col 33} .05768{col 43}2.3449{col 52}0.019{col 60} .022201{col 73} .248285
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .13524{col 33} .06847{col 43}1.9753{col 52}0.048{col 60} .001047{col 73} .269439
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake220Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10789{col 34}     1844{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5513{col 34}      784{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.626{col 34}    4.626
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.626{col 34}    4.626
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       93

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.13962{col 33}  .0556{col 43}-2.5113{col 52}0.012{col 60}-.248589{col 73}-.030653
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .13653{col 33}  .0556{col 43}2.4558{col 52}0.014{col 60} .027566{col 73} .245501
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .13653{col 33}  .0701{col 43}1.9476{col 52}0.051{col 60}-.000865{col 73} .273932
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake230Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10821{col 34}     1812{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5336{col 34}      751{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.506{col 34}    4.506
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.506{col 34}    4.506
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       93

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.10566{col 33} .05842{col 43}-1.8086{col 52}0.071{col 60}-.220153{col 73} .008841
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .21476{col 33} .05842{col 43}3.6762{col 52}0.000{col 60} .100258{col 73} .329253
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .21476{col 33} .07241{col 43}2.9660{col 52}0.003{col 60} .072844{col 73} .356667
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake240Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10862{col 34}     1771{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5583{col 34}      744{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.823{col 34}    4.823
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.823{col 34}    4.823
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       94

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.1322{col 33} .05852{col 43}-2.2591{col 52}0.024{col 60}-.246896{col 73}-.017505
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .14794{col 33} .05852{col 43}2.5281{col 52}0.011{col 60} .033249{col 73}  .26264
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .14794{col 33} .07087{col 43}2.0876{col 52}0.037{col 60} .009045{col 73} .286843
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake250Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10893{col 34}     1740{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5632{col 34}      728{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.940{col 34}    4.940
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.940{col 34}    4.940
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       94

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.13723{col 33} .06165{col 43}-2.2259{col 52}0.026{col 60}-.258068{col 73}-.016398
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .16192{col 33} .06165{col 43}2.6264{col 52}0.009{col 60} .041086{col 73} .282756
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .16192{col 33} .07664{col 43}2.1127{col 52}0.035{col 60} .011704{col 73} .312138
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake260Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10929{col 34}     1704{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5820{col 34}      718{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.258{col 34}    5.258
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.258{col 34}    5.258
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       94

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.14562{col 33} .06074{col 43}-2.3975{col 52}0.017{col 60}-.264668{col 73}-.026576
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .21787{col 33} .06074{col 43}3.5870{col 52}0.000{col 60} .098823{col 73} .336916
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .21787{col 33} .07823{col 43}2.7851{col 52}0.005{col 60} .064549{col 73}  .37119
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake270Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10946{col 34}     1687{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5536{col 34}      692{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.974{col 34}    4.974
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.974{col 34}    4.974
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       94

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09508{col 33} .05966{col 43}-1.5937{col 52}0.111{col 60}-.212017{col 73} .021852
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .26696{col 33} .05966{col 43}4.4746{col 52}0.000{col 60} .150025{col 73} .383894
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .26696{col 33} .07498{col 43}3.5604{col 52}0.000{col 60}     .12{col 73} .413918
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake280Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10964{col 34}     1669{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5544{col 34}      684{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.067{col 34}    5.067
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.067{col 34}    5.067
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       94

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.13638{col 33} .06124{col 43}-2.2269{col 52}0.026{col 60}-.256413{col 73}-.016347
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .25455{col 33} .06124{col 43}4.1564{col 52}0.000{col 60} .134514{col 73} .374579
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .25455{col 33} .07668{col 43}3.3196{col 52}0.001{col 60} .104258{col 73} .404835
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake290Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10992{col 34}     1641{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5827{col 34}      688{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.483{col 34}    5.483
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.483{col 34}    5.483
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       94

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.15557{col 33} .06068{col 43}-2.5638{col 52}0.010{col 60}-.274495{col 73} -.03664
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .19978{col 33} .06068{col 43}3.2924{col 52}0.001{col 60} .080848{col 73} .318703
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .19978{col 33} .07611{col 43}2.6249{col 52}0.009{col 60} .050604{col 73} .348947
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake300Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Denmark.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    42493{col 34}   112050{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    23324{col 34}    75139{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.728{col 34}    3.728
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.728{col 34}    3.728
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    21313{col 34}    66562
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      437{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0026{col 33} .01205{col 43}0.2161{col 52}0.829{col 60}-.021014{col 73} .026222
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03297{col 33} .01205{col 43}2.7365{col 52}0.006{col 60} .009357{col 73} .056593
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03297{col 33} .01605{col 43}2.0549{col 52}0.040{col 60} .001523{col 73} .064427
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-300Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    43806{col 34}   110737{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24665{col 34}    76269{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.840{col 34}    3.840
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.840{col 34}    3.840
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    21893{col 34}    65982
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      438{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01006{col 33} .01137{col 43}-0.8848{col 52}0.376{col 60}-.032355{col 73} .012229
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03926{col 33} .01137{col 43}3.4516{col 52}0.001{col 60} .016965{col 73} .061549
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03926{col 33} .01491{col 43}2.6324{col 52}0.008{col 60} .010028{col 73} .068487
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-290Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    45203{col 34}   109340{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25794{col 34}    76058{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.851{col 34}    3.851
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.851{col 34}    3.851
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    22533{col 34}    65342
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      438{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02661{col 33} .01115{col 43}-2.3859{col 52}0.017{col 60}-.048463{col 73}-.004749
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02544{col 33} .01115{col 43}2.2813{col 52}0.023{col 60} .003583{col 73} .047297
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02544{col 33} .01482{col 43}1.7162{col 52}0.086{col 60}-.003613{col 73} .054493
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-280Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    46706{col 34}   107837{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26336{col 34}    73771{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.679{col 34}    3.679
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.679{col 34}    3.679
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    23245{col 34}    64630
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      440{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02646{col 33} .01117{col 43}-2.3683{col 52}0.018{col 60}-.048363{col 73}-.004562
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0184{col 33} .01117{col 43}1.6471{col 52}0.100{col 60}-.003496{col 73} .040304
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0184{col 33} .01389{col 43}1.3249{col 52}0.185{col 60}-.008821{col 73}  .04563
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-270Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    48263{col 34}   106280{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27298{col 34}    72647{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.618{col 34}    3.618
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.618{col 34}    3.618
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    23979{col 34}    63896
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      440{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01936{col 33} .01138{col 43}-1.7010{col 52}0.089{col 60}-.041665{col 73} .002948
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03915{col 33} .01138{col 43}3.4401{col 52}0.001{col 60} .016846{col 73} .061458
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03915{col 33} .01395{col 43}2.8070{col 52}0.005{col 60} .011814{col 73} .066489
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-260Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    49858{col 34}   104685{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27811{col 34}    70076{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.428{col 34}    3.428
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.428{col 34}    3.428
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    24722{col 34}    63153
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      441{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01511{col 33} .01105{col 43}-1.3682{col 52}0.171{col 60}-.036767{col 73} .006538
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04036{col 33} .01105{col 43}3.6531{col 52}0.000{col 60} .018705{col 73}  .06201
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04036{col 33}  .0133{col 43}3.0333{col 52}0.002{col 60} .014281{col 73} .066434
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-250Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    51587{col 34}   102956{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27993{col 34}    66269{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.147{col 34}    3.147
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.147{col 34}    3.147
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    25529{col 34}    62346
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01708{col 33} .01114{col 43}-1.5339{col 52}0.125{col 60}-.038911{col 73} .004746
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01738{col 33} .01114{col 43}1.5608{col 52}0.119{col 60}-.004446{col 73} .039211
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01738{col 33}  .0137{col 43}1.2691{col 52}0.204{col 60}-.009463{col 73} .044228
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-240Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    53380{col 34}   101163{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28908{col 34}    64512{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.049{col 34}    3.049
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.049{col 34}    3.049
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    26370{col 34}    61505
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01527{col 33}  .0112{col 43}-1.3637{col 52}0.173{col 60}-.037217{col 73} .006677
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02201{col 33}  .0112{col 43}1.9656{col 52}0.049{col 60} .000063{col 73} .043958
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02201{col 33} .01438{col 43}1.5306{col 52}0.126{col 60}-.006173{col 73} .050194
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-230Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    55498{col 34}    99045{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30328{col 34}    62889{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.995{col 34}    2.995
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.995{col 34}    2.995
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    27371{col 34}    60504
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01745{col 33} .01079{col 43}-1.6170{col 52}0.106{col 60}-.038604{col 73} .003701
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02374{col 33} .01079{col 43}2.2000{col 52}0.028{col 60}  .00259{col 73} .044895
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02374{col 33}  .0142{col 43}1.6722{col 52}0.094{col 60}-.004086{col 73} .051571
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-220Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    57531{col 34}    97012{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30543{col 34}    59151{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.749{col 34}    2.749
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.749{col 34}    2.749
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    28355{col 34}    59520
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01399{col 33} .01102{col 43}-1.2689{col 52}0.204{col 60}-.035595{col 73} .007618
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01477{col 33} .01102{col 43}1.3396{col 52}0.180{col 60}-.006838{col 73} .036374
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01477{col 33} .01461{col 43}1.0108{col 52}0.312{col 60}-.013867{col 73} .043403
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-210Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    59815{col 34}    94728{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30698{col 34}    54730{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.481{col 34}    2.481
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.481{col 34}    2.481
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    29471{col 34}    58404
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02119{col 33} .01113{col 43}-1.9029{col 52}0.057{col 60}-.043011{col 73} .000635
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0088{col 33} .01113{col 43}-0.7900{col 52}0.430{col 60}-.030619{col 73} .013027
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0088{col 33} .01483{col 43}-0.5930{col 52}0.553{col 60}-.037866{col 73} .020274
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-200Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    62342{col 34}    92201{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31669{col 34}    51758{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.343{col 34}    2.343
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.343{col 34}    2.343
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    30656{col 34}    57219
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00904{col 33} .01174{col 43}-0.7702{col 52}0.441{col 60}-.032062{col 73} .013973
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0123{col 33} .01174{col 43}1.0475{col 52}0.295{col 60}-.010716{col 73} .035318
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0123{col 33}  .0151{col 43}0.8149{col 52}0.415{col 60}-.017286{col 73} .041889
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-190Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    64821{col 34}    89722{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31853{col 34}    47919{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.139{col 34}    2.139
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.139{col 34}    2.139
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    31914{col 34}    55961
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01488{col 33} .01234{col 43}-1.2058{col 52}0.228{col 60}-.039062{col 73} .009306
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0073{col 33} .01234{col 43}-0.5918{col 52}0.554{col 60}-.031487{col 73} .016881
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0073{col 33} .01471{col 43}-0.4964{col 52}0.620{col 60}-.036134{col 73} .021529
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-180Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    67525{col 34}    87018{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    32787{col 34}    45107{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.031{col 34}    2.031
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.031{col 34}    2.031
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    33283{col 34}    54592
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01109{col 33}  .0124{col 43}-0.8948{col 52}0.371{col 60} -.03539{col 73} .013205
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00251{col 33}  .0124{col 43}-0.2021{col 52}0.840{col 60}-.026803{col 73} .021792
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00251{col 33} .01465{col 43}-0.1710{col 52}0.864{col 60}-.031227{col 73} .026215
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-170Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    70501{col 34}    84042{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    34107{col 34}    42455{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.956{col 34}    1.956
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.956{col 34}    1.956
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    34770{col 34}    53105
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00794{col 33} .01268{col 43}-0.6264{col 52}0.531{col 60}-.032784{col 73} .016903
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00068{col 33} .01268{col 43}-0.0540{col 52}0.957{col 60}-.025528{col 73} .024159
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00068{col 33} .01535{col 43}-0.0446{col 52}0.964{col 60}-.030774{col 73} .029404
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-160Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    73450{col 34}    81093{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36432{col 34}    41225{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.991{col 34}    1.991
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.991{col 34}    1.991
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    36275{col 34}    51600
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01373{col 33} .01317{col 43}-1.0423{col 52}0.297{col 60}-.039555{col 73}  .01209
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00666{col 33} .01317{col 43}-0.5054{col 52}0.613{col 60}-.032481{col 73} .019164
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00666{col 33} .01618{col 43}-0.4115{col 52}0.681{col 60}-.038367{col 73} .025051
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-150Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    76485{col 34}    78058{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    38379{col 34}    39405{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.987{col 34}    1.987
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.987{col 34}    1.987
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    37861{col 34}    50014
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0025{col 33} .01308{col 43}-0.1908{col 52}0.849{col 60}-.028133{col 73} .023143
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01231{col 33} .01308{col 43}0.9408{col 52}0.347{col 60}-.013331{col 73} .037944
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01231{col 33} .01675{col 43}0.7348{col 52}0.462{col 60}-.020519{col 73} .045132
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-140Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    79489{col 34}    75054{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    40131{col 34}    37553{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.979{col 34}    1.979
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.979{col 34}    1.979
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    39543{col 34}    48332
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00724{col 33}  .0134{col 43}0.5408{col 52}0.589{col 60}-.019012{col 73} .033502
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02826{col 33}  .0134{col 43}2.1096{col 52}0.035{col 60} .002005{col 73} .054519
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02826{col 33} .01607{col 43}1.7583{col 52}0.079{col 60}-.003241{col 73} .059765
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-130Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    82555{col 34}    71988{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    41313{col 34}    34871{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.910{col 34}    1.910
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.910{col 34}    1.910
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    41192{col 34}    46683
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00153{col 33} .01526{col 43}0.1002{col 52}0.920{col 60}-.028374{col 73}  .03143
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01071{col 33} .01526{col 43}0.7023{col 52}0.482{col 60}-.019187{col 73} .040617
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01071{col 33} .01554{col 43}0.6895{col 52}0.490{col 60}-.019742{col 73} .041172
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-120Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    85590{col 34}    68953{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    43698{col 34}    33462{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.951{col 34}    1.951
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.951{col 34}    1.951
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    42894{col 34}    44981
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01053{col 33} .01663{col 43}-0.6334{col 52}0.526{col 60}-.043132{col 73} .022063
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00229{col 33} .01663{col 43}-0.1377{col 52}0.890{col 60}-.034888{col 73} .030307
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00229{col 33} .01725{col 43}-0.1328{col 52}0.894{col 60}-.036102{col 73} .031521
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-110Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    88484{col 34}    66059{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    46857{col 34}    33037{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.073{col 34}    2.073
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.073{col 34}    2.073
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    44568{col 34}    43307
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01094{col 33} .01595{col 43}-0.6856{col 52}0.493{col 60}-.042206{col 73}  .02033
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01372{col 33} .01595{col 43}-0.8602{col 52}0.390{col 60}-.044991{col 73} .017545
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01372{col 33} .01864{col 43}-0.7362{col 52}0.462{col 60}-.050258{col 73} .022812
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-100Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    91260{col 34}    63283{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    49802{col 34}    32417{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.191{col 34}    2.191
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.191{col 34}    2.191
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    46197{col 34}    41678
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01852{col 33} .01527{col 43}-1.2130{col 52}0.225{col 60}-.048451{col 73} .011406
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02704{col 33} .01527{col 43}-1.7706{col 52}0.077{col 60}-.056966{col 73} .002891
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02704{col 33} .01968{col 43}-1.3740{col 52}0.169{col 60}-.065605{col 73}  .01153
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-90Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    93853{col 34}    60690{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    53936{col 34}    32793{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.426{col 34}    2.426
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.426{col 34}    2.426
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    47738{col 34}    40137
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0039{col 33}  .0141{col 43}0.2762{col 52}0.782{col 60}-.023749{col 73} .031541
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0167{col 33}  .0141{col 43}-1.1843{col 52}0.236{col 60}-.044349{col 73} .010941
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0167{col 33} .01877{col 43}-0.8900{col 52}0.373{col 60} -.05349{col 73} .020083
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-80Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    96344{col 34}    58199{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    55756{col 34}    31454{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.467{col 34}    2.467
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.467{col 34}    2.467
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    49250{col 34}    38625
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0182{col 33} .01427{col 43}1.2755{col 52}0.202{col 60}-.009764{col 73} .046155
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00703{col 33} .01427{col 43}-0.4925{col 52}0.622{col 60}-.034985{col 73} .020933
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00703{col 33} .01826{col 43}-0.3847{col 52}0.700{col 60}-.042823{col 73} .028771
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-70Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    98551{col 34}    55992{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    59909{col 34}    31903{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.741{col 34}    2.741
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.741{col 34}    2.741
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    50578{col 34}    37297
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03058{col 33}  .0137{col 43}2.2326{col 52}0.026{col 60} .003734{col 73} .057433
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00025{col 33}  .0137{col 43}-0.0184{col 52}0.985{col 60}-.027102{col 73} .026597
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00025{col 33} .01737{col 43}-0.0145{col 52}0.988{col 60}-.034306{col 73}   .0338
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-60Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   100666{col 34}    53877{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    63969{col 34}    32113{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.022{col 34}    3.022
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.022{col 34}    3.022
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    51822{col 34}    36053
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03842{col 33}  .0136{col 43}2.8255{col 52}0.005{col 60}  .01177{col 73} .065074
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00024{col 33}  .0136{col 43}0.0178{col 52}0.986{col 60}-.026411{col 73} .026894
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00024{col 33} .01715{col 43}0.0141{col 52}0.989{col 60}-.033377{col 73}  .03386
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-50Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   102654{col 34}    51889{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    63121{col 34}    29789{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.860{col 34}    2.860
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.860{col 34}    2.860
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    53022{col 34}    34853
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03217{col 33}  .0133{col 43}2.4190{col 52}0.016{col 60} .006104{col 73} .058233
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0034{col 33}  .0133{col 43}-0.2554{col 52}0.798{col 60} -.02946{col 73} .022668
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0034{col 33} .01552{col 43}-0.2188{col 52}0.827{col 60}-.033811{col 73} .027019
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-40Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   104400{col 34}    50143{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    61423{col 34}    27473{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.661{col 34}    2.661
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.661{col 34}    2.661
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    54096{col 34}    33779
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02334{col 33} .01249{col 43}1.8691{col 52}0.062{col 60}-.001135{col 73} .047816
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01354{col 33} .01249{col 43}-1.0845{col 52}0.278{col 60}-.038019{col 73} .010932
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01354{col 33} .01533{col 43}-0.8832{col 52}0.377{col 60}-.043598{col 73} .016512
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-30Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   106034{col 34}    48509{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    59567{col 34}    25557{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.515{col 34}    2.515
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.515{col 34}    2.515
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    55140{col 34}    32735
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02877{col 33} .01292{col 43}2.2257{col 52}0.026{col 60} .003435{col 73} .054098
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0062{col 33} .01292{col 43}-0.4798{col 52}0.631{col 60}-.031532{col 73}  .01913
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0062{col 33} .01629{col 43}-0.3808{col 52}0.703{col 60}-.038121{col 73} .025719
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-20Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   107630{col 34}    46913{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    60512{col 34}    24880{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.574{col 34}    2.574
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.574{col 34}    2.574
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56196{col 34}    31679
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02743{col 33}  .0133{col 43}2.0630{col 52}0.039{col 60}  .00137{col 73}   .0535
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01424{col 33}  .0133{col 43}1.0710{col 52}0.284{col 60}-.011822{col 73} .040308
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01424{col 33} .01748{col 43}0.8148{col 52}0.415{col 60}-.020018{col 73} .048504
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-10Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    56506{col 34}    23341{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.374{col 34}    2.374
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.374{col 34}    2.374
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00031{col 33} .01352{col 43}-0.0230{col 52}0.982{col 60}-.026806{col 73} .026184
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01662{col 33} .01352{col 43}-1.2294{col 52}0.219{col 60}-.043113{col 73} .009876
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01662{col 33} .02016{col 43}-0.8242{col 52}0.410{col 60}-.056137{col 73}   .0229
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake0Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   109477{col 34}    45066{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    57360{col 34}    23595{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.471{col 34}    2.471
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.471{col 34}    2.471
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    57656{col 34}    30219
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00768{col 33} .01409{col 43}-0.5451{col 52}0.586{col 60}-.035293{col 73} .019933
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00997{col 33} .01409{col 43}-0.7076{col 52}0.479{col 60}-.037581{col 73} .017644
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00997{col 33} .01917{col 43}-0.5199{col 52}0.603{col 60}-.047551{col 73} .027613
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake10Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   110873{col 34}    43670{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    52756{col 34}    21629{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.272{col 34}    2.272
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.272{col 34}    2.272
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    58622{col 34}    29253
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00539{col 33} .01502{col 43}-0.3589{col 52}0.720{col 60} -.03482{col 73} .024041
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02432{col 33} .01502{col 43}1.6193{col 52}0.105{col 60}-.005115{col 73} .053746
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02432{col 33} .01826{col 43}1.3317{col 52}0.183{col 60} -.01147{col 73} .060101
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake20Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   112241{col 34}    42302{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    51617{col 34}    20815{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.268{col 34}    2.268
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.268{col 34}    2.268
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    59497{col 34}    28378
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01687{col 33} .01494{col 43}-1.1286{col 52}0.259{col 60}-.046157{col 73} .012425
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01216{col 33} .01494{col 43}0.8138{col 52}0.416{col 60}-.017129{col 73} .041452
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01216{col 33} .01693{col 43}0.7183{col 52}0.473{col 60} -.02102{col 73} .045343
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake30Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113524{col 34}    41019{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    50013{col 34}    20006{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.253{col 34}    2.253
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.253{col 34}    2.253
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    60308{col 34}    27567
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03729{col 33} .01489{col 43}-2.5040{col 52}0.012{col 60} -.06648{col 73}-.008102
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00781{col 33} .01489{col 43}-0.5246{col 52}0.600{col 60}-.037002{col 73} .021376
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00781{col 33} .01675{col 43}-0.4664{col 52}0.641{col 60}-.040649{col 73} .025023
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake40Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114800{col 34}    39743{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    49703{col 34}    19475{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.291{col 34}    2.291
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.291{col 34}    2.291
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    61134{col 34}    26741
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03989{col 33} .01424{col 43}-2.8004{col 52}0.005{col 60}-.067805{col 73}-.011971
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00317{col 33} .01424{col 43}-0.2223{col 52}0.824{col 60}-.031084{col 73}  .02475
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00317{col 33} .01599{col 43}-0.1980{col 52}0.843{col 60} -.03451{col 73} .028177
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake50Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   116071{col 34}    38472{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    45958{col 34}    18332{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.214{col 34}    2.214
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.214{col 34}    2.214
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    61905{col 34}    25970
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04972{col 33} .01392{col 43}-3.5718{col 52}0.000{col 60}-.077001{col 73}-.022437
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0211{col 33} .01392{col 43}-1.5156{col 52}0.130{col 60}-.048379{col 73} .006185
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0211{col 33} .01617{col 43}-1.3045{col 52}0.192{col 60}-.052794{col 73} .010601
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake60Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   117297{col 34}    37246{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    43056{col 34}    17406{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.174{col 34}    2.174
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.174{col 34}    2.174
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    62677{col 34}    25198
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03968{col 33} .01417{col 43}-2.7998{col 52}0.005{col 60}-.067464{col 73}-.011904
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01082{col 33} .01417{col 43}-0.7635{col 52}0.445{col 60}-.038602{col 73} .016959
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01082{col 33} .01719{col 43}-0.6295{col 52}0.529{col 60}-.044514{col 73} .022871
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake70Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   118448{col 34}    36095{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    42593{col 34}    16979{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.220{col 34}    2.220
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.220{col 34}    2.220
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    63367{col 34}    24508
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02585{col 33} .01418{col 43}-1.8225{col 52}0.068{col 60}-.053645{col 73}  .00195
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01636{col 33} .01418{col 43}1.1535{col 52}0.249{col 60}-.011437{col 73} .044157
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01636{col 33} .01737{col 43}0.9417{col 52}0.346{col 60}-.017689{col 73}  .05041
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake80Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   119606{col 34}    34937{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    40595{col 34}    16263{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.215{col 34}    2.215
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.215{col 34}    2.215
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    64072{col 34}    23803
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03597{col 33} .01376{col 43}-2.6140{col 52}0.009{col 60}-.062946{col 73}-.009001
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00113{col 33} .01376{col 43}-0.0820{col 52}0.935{col 60}-.028101{col 73} .025843
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00113{col 33} .01804{col 43}-0.0626{col 52}0.950{col 60}-.036481{col 73} .034223
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake90Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   120706{col 34}    33837{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    39941{col 34}    15837{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.260{col 34}    2.260
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.260{col 34}    2.260
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    64757{col 34}    23118
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02782{col 33} .01357{col 43}-2.0496{col 52}0.040{col 60}-.054428{col 73}-.001217
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00896{col 33} .01357{col 43}0.6601{col 52}0.509{col 60}-.017645{col 73} .035566
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00896{col 33} .01767{col 43}0.5072{col 52}0.612{col 60}-.025665{col 73} .043586
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake100Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   121768{col 34}    32775{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    39765{col 34}    15427{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.319{col 34}    2.319
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.319{col 34}    2.319
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    65429{col 34}    22446
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01903{col 33} .01367{col 43}-1.3920{col 52}0.164{col 60}-.045825{col 73} .007764
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00181{col 33} .01367{col 43}0.1328{col 52}0.894{col 60} -.02498{col 73} .028609
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00181{col 33} .01801{col 43}0.1008{col 52}0.920{col 60}-.033476{col 73} .037105
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake110Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122747{col 34}    31796{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    40026{col 34}    15169{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.396{col 34}    2.396
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.396{col 34}    2.396
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    66056{col 34}    21819
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00231{col 33} .01371{col 43}-0.1683{col 52}0.866{col 60}-.029171{col 73} .024558
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01061{col 33} .01371{col 43}0.7741{col 52}0.439{col 60}-.016254{col 73} .037476
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01061{col 33} .01807{col 43}0.5872{col 52}0.557{col 60}-.024805{col 73} .046027
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake120Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   123757{col 34}    30786{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    44619{col 34}    15281{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.611{col 34}    2.611
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.611{col 34}    2.611
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    66661{col 34}    21214
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02878{col 33} .01376{col 43}2.0910{col 52}0.037{col 60} .001803{col 73} .055757
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .07666{col 33} .01376{col 43}5.5692{col 52}0.000{col 60} .049678{col 73} .103632
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .07666{col 33} .01791{col 43}4.2793{col 52}0.000{col 60} .041547{col 73} .111764
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake130Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   124638{col 34}    29905{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    41508{col 34}    14615{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.583{col 34}    2.583
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.583{col 34}    2.583
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67222{col 34}    20653
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02195{col 33} .01392{col 43}1.5771{col 52}0.115{col 60}-.005327{col 73} .049224
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05153{col 33} .01392{col 43}3.7032{col 52}0.000{col 60} .024259{col 73}  .07881
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05153{col 33} .01807{col 43}2.8520{col 52}0.004{col 60} .016119{col 73} .086951
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake140Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125567{col 34}    28976{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    43275{col 34}    14419{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.709{col 34}    2.709
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.709{col 34}    2.709
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67799{col 34}    20076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00465{col 33} .01376{col 43}0.3381{col 52}0.735{col 60}-.022318{col 73} .031623
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02706{col 33} .01376{col 43}1.9662{col 52}0.049{col 60} .000086{col 73} .054027
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02706{col 33} .01841{col 43}1.4694{col 52}0.142{col 60}-.009034{col 73} .063147
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake150Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   126431{col 34}    28112{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    44614{col 34}    14190{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.825{col 34}    2.825
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.825{col 34}    2.825
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    68326{col 34}    19549
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00039{col 33} .01375{col 43}-0.0286{col 52}0.977{col 60} -.02735{col 73} .026563
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03044{col 33} .01375{col 43}2.2136{col 52}0.027{col 60} .003488{col 73} .057401
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03044{col 33} .01798{col 43}1.6930{col 52}0.090{col 60}-.004801{col 73}  .06569
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake160Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   127249{col 34}    27294{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    45031{col 34}    13865{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.911{col 34}    2.911
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.911{col 34}    2.911
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    68806{col 34}    19069
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0064{col 33} .01332{col 43}0.4809{col 52}0.631{col 60}-.019696{col 73} .032503
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02108{col 33} .01332{col 43}1.5833{col 52}0.113{col 60}-.005015{col 73} .047183
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02108{col 33} .01753{col 43}1.2027{col 52}0.229{col 60}-.013276{col 73} .055443
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake170Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   128060{col 34}    26483{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    49044{col 34}    13839{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.115{col 34}    3.115
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.115{col 34}    3.115
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    69289{col 34}    18586
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00669{col 33}  .0136{col 43}0.4921{col 52}0.623{col 60}-.019965{col 73} .033351
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03886{col 33}  .0136{col 43}2.8572{col 52}0.004{col 60} .012204{col 73}  .06552
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03886{col 33} .01774{col 43}2.1900{col 52}0.029{col 60} .004082{col 73} .073641
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake180Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   128807{col 34}    25736{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    49321{col 34}    13545{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.200{col 34}    3.200
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.200{col 34}    3.200
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    69778{col 34}    18097
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00319{col 33} .01359{col 43}0.2349{col 52}0.814{col 60}-.023445{col 73} .029829
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01896{col 33} .01359{col 43}1.3949{col 52}0.163{col 60}-.007679{col 73} .045595
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01896{col 33} .01788{col 43}1.0600{col 52}0.289{col 60}-.016096{col 73} .054012
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake190Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   129465{col 34}    25078{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    53000{col 34}    13573{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.400{col 34}    3.400
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.400{col 34}    3.400
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70198{col 34}    17677
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00503{col 33} .01372{col 43}0.3664{col 52}0.714{col 60}-.021865{col 73} .031918
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02171{col 33} .01372{col 43}1.5825{col 52}0.114{col 60}-.005179{col 73} .048605
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02171{col 33} .01755{col 43}1.2374{col 52}0.216{col 60}-.012679{col 73} .056105
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake200Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   130153{col 34}    24390{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    54118{col 34}    13307{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.515{col 34}    3.515
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.515{col 34}    3.515
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70642{col 34}    17233
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00291{col 33} .01361{col 43}0.2142{col 52}0.830{col 60}-.023752{col 73} .029579
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0142{col 33} .01361{col 43}1.0434{col 52}0.297{col 60} -.01247{col 73} .040861
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0142{col 33} .01807{col 43}0.7855{col 52}0.432{col 60}-.021227{col 73} .049618
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake210Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   130872{col 34}    23671{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    60165{col 34}    13344{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.793{col 34}    3.793
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.793{col 34}    3.793
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71099{col 34}    16776
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00285{col 33} .01335{col 43}-0.2132{col 52}0.831{col 60}-.029009{col 73} .023318
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01535{col 33} .01335{col 43}1.1496{col 52}0.250{col 60}-.010818{col 73} .041509
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01535{col 33}  .0175{col 43}0.8768{col 52}0.381{col 60}-.018957{col 73} .049648
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake220Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   131498{col 34}    23045{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    65518{col 34}    13341{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.058{col 34}    4.058
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.058{col 34}    4.058
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71492{col 34}    16383
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01764{col 33} .01332{col 43}-1.3247{col 52}0.185{col 60}-.043741{col 73}  .00846
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00717{col 33} .01332{col 43}0.5386{col 52}0.590{col 60}-.018928{col 73} .033272
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00717{col 33} .01747{col 43}0.4106{col 52}0.681{col 60}-.027067{col 73} .041412
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake230Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   132091{col 34}    22452{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    69983{col 34}    13298{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.309{col 34}    4.309
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.309{col 34}    4.309
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71882{col 34}    15993
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02092{col 33} .01342{col 43}-1.5589{col 52}0.119{col 60}-.047215{col 73} .005382
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01948{col 33} .01342{col 43}1.4515{col 52}0.147{col 60}-.006823{col 73} .045774
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01948{col 33} .01741{col 43}1.1187{col 52}0.263{col 60}-.014647{col 73} .053598
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake240Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   132658{col 34}    21885{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    68981{col 34}    12928{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.345{col 34}    4.345
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.345{col 34}    4.345
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72239{col 34}    15636
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00155{col 33} .01347{col 43}0.1153{col 52}0.908{col 60} -.02485{col 73} .027956
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03123{col 33} .01347{col 43}2.3184{col 52}0.020{col 60} .004829{col 73} .057634
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03123{col 33} .01756{col 43}1.7782{col 52}0.075{col 60}-.003192{col 73} .065655
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake250Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   133240{col 34}    21303{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    67898{col 34}    12530{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.382{col 34}    4.382
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.382{col 34}    4.382
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72598{col 34}    15277
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00155{col 33} .01366{col 43}-0.1136{col 52}0.910{col 60}-.028322{col 73} .025219
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0099{col 33} .01366{col 43}0.7248{col 52}0.469{col 60}-.016871{col 73} .036671
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0099{col 33} .01777{col 43}0.5570{col 52}0.578{col 60}-.024935{col 73} .044735
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake260Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   133787{col 34}    20756{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    63914{col 34}    12016{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.321{col 34}    4.321
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.321{col 34}    4.321
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72967{col 34}    14908
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01686{col 33} .01379{col 43}1.2230{col 52}0.221{col 60}-.010161{col 73} .043883
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01296{col 33} .01379{col 43}0.9399{col 52}0.347{col 60}-.014063{col 73}  .03998
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01296{col 33} .01775{col 43}0.7302{col 52}0.465{col 60}-.021823{col 73}  .04774
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake270Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   134324{col 34}    20219{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    48135{col 34}    11037{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.880{col 34}    3.880
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.880{col 34}    3.880
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73307{col 34}    14568
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04582{col 33} .01465{col 43}3.1270{col 52}0.002{col 60} .017101{col 73} .074543
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00705{col 33} .01465{col 43}0.4813{col 52}0.630{col 60}-.021668{col 73} .035774
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00705{col 33} .01946{col 43}0.3624{col 52}0.717{col 60}-.031087{col 73} .045193
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake280Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   134826{col 34}    19717{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    49997{col 34}    10866{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.026{col 34}    4.026
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.026{col 34}    4.026
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73627{col 34}    14248
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03574{col 33}  .0149{col 43}2.3985{col 52}0.016{col 60} .006535{col 73} .064951
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01784{col 33}  .0149{col 43}-1.1971{col 52}0.231{col 60}-.047048{col 73} .011368
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01784{col 33} .01943{col 43}-0.9184{col 52}0.358{col 60}-.055913{col 73} .020233
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake290Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   135335{col 34}    19208{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    40010{col 34}    10098{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.742{col 34}    3.742
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.742{col 34}    3.742
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73943{col 34}    13932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: runningnextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04163{col 33} .01583{col 43}2.6305{col 52}0.009{col 60} .010612{col 73}  .07265
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02164{col 33} .01583{col 43}-1.3674{col 52}0.171{col 60}-.052661{col 73} .009378
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02164{col 33} .02094{col 43}-1.0333{col 52}0.301{col 60}-.062693{col 73}  .01941
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake300Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Finland.dta{rm}
saved
{p_end}

{com}. 
. preserve        
{txt}
{com}.         
. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}.         
. levelsof country, local(election)
{res}{txt}`"Brazil"' `"Colombia"' `"Denmark"' `"Finland"'

{com}.         foreach x of local election {c -(}
{txt}  2{com}.                 use "fake-300`x'.dta", clear
{txt}  3{com}.                 forvalues i=-290(10)300 {c -(}
{txt}  4{com}.                 append using fake`i'`x'.dta
{txt}  5{com}.                 {c )-}       
{txt}  6{com}. 
. duplicates drop cutoff parm, force
{txt}  7{com}. 
. twoway (rline min95 max95 cutoff if parm=="Conventional", plotregion(lcolor(black)) ylabel(,format(%9.2f)) lpattern(dash) lcolor(gray) xlabel(-3(1)3, format(%9.0f)) subtitle("Conventional, p = 2, CER", position(11)) legend(off) xtitle("Cutoff") ytitle(Estimated effect)  graphregion(color(white))  xline(0, lcolor(cranberry)) yline(0, lcolor(black) lwidth(vthin))) (scatter estimate cutoff if parm=="Conventional", connect(direct) lcolor(black) msymbol(none))
{txt}  8{com}. graph save "$dir/temp/fakecutoff1_`x'2b.gph", replace
{txt}  9{com}. twoway (rline min95 max95 cutoff if parm=="Robust", plotregion(lcolor(black)) ylabel(,format(%9.2f)) lpattern(dash) lcolor(gray) xlabel(-3(1)3, format(%9.0f)) subtitle("Robust, p = 2, CER", position(11)) legend(off) xtitle("Cutoff") ytitle(Estimated effect)  graphregion(color(white))  xline(0, lcolor(cranberry)) yline(0, lcolor(black) lwidth(vthin))) (scatter estimate cutoff if parm=="Robust", connect(direct) lcolor(black) msymbol(none))
{txt} 10{com}. graph save "$dir/temp/fakecutoff2_`x'2b.gph", replace
{txt} 11{com}.         {c )-}

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Brazil2b.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Brazil2b.gph} saved
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Brazil2b.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Brazil2b.gph} saved

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Colombia2b.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Colombia2b.gph} saved
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Colombia2b.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Colombia2b.gph} saved

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Denmark2b.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Denmark2b.gph} saved
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Denmark2b.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Denmark2b.gph} saved

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Finland2b.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Finland2b.gph} saved
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Finland2b.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Finland2b.gph} saved

{com}. restore
{txt}
{com}. 
. // Combine the graphs
. 
. graph combine "$dir/temp/fakecutoff1_Brazil1a.gph" "$dir/temp/fakecutoff1_Brazil1b.gph" ///
>         "$dir/temp/fakecutoff1_Brazil2a.gph" "$dir/temp/fakecutoff1_Brazil2b.gph" ///
>         "$dir/temp/fakecutoff2_Brazil1a.gph" "$dir/temp/fakecutoff2_Brazil1b.gph" ///
>         "$dir/temp/fakecutoff2_Brazil2a.gph" "$dir/temp/fakecutoff2_Brazil2b.gph", ///
>         subtitle("Panel A: Brazil", position(11)) graphregion(color(white)) cols(4) xsize(16) ysize(9)
{res}{txt}
{com}. graph export "$dir/figures/figure_OA5A.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
/Users/jaakko/Documents/PA_replication_package/figures/figure_OA5A.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. graph combine "$dir/temp/fakecutoff1_Colombia1a.gph" "$dir/temp/fakecutoff1_Colombia1b.gph" ///
>         "$dir/temp/fakecutoff1_Colombia2a.gph" "$dir/temp/fakecutoff1_Colombia2b.gph" ///
>         "$dir/temp/fakecutoff2_Colombia1a.gph" "$dir/temp/fakecutoff2_Colombia1b.gph" ///
>         "$dir/temp/fakecutoff2_Colombia2a.gph" "$dir/temp/fakecutoff2_Colombia2b.gph", ///
>         subtitle("Panel B: Colombia", position(11)) graphregion(color(white)) cols(4) xsize(16) ysize(9)
{res}{txt}
{com}. graph export "$dir/figures/figure_OA5B.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
/Users/jaakko/Documents/PA_replication_package/figures/figure_OA5B.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. graph combine "$dir/temp/fakecutoff1_Denmark1a.gph" "$dir/temp/fakecutoff1_Denmark1b.gph" ///
>         "$dir/temp/fakecutoff1_Denmark2a.gph" "$dir/temp/fakecutoff1_Denmark2b.gph" ///
>         "$dir/temp/fakecutoff2_Denmark1a.gph" "$dir/temp/fakecutoff2_Denmark1b.gph" ///
>         "$dir/temp/fakecutoff2_Denmark2a.gph" "$dir/temp/fakecutoff2_Denmark2b.gph", ///
>         subtitle("Panel C: Denmark", position(11)) graphregion(color(white)) cols(4) xsize(16) ysize(9)
{res}{txt}
{com}. graph export "$dir/figures/figure_OA5C.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
/Users/jaakko/Documents/PA_replication_package/figures/figure_OA5C.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. graph combine "$dir/temp/fakecutoff1_Finland1a.gph" "$dir/temp/fakecutoff1_Finland1b.gph" ///
>         "$dir/temp/fakecutoff1_Finland2a.gph" "$dir/temp/fakecutoff1_Finland2b.gph" ///
>         "$dir/temp/fakecutoff2_Finland1a.gph" "$dir/temp/fakecutoff2_Finland1b.gph" ///
>         "$dir/temp/fakecutoff2_Finland2a.gph" "$dir/temp/fakecutoff2_Finland2b.gph", ///
>         subtitle("Panel D: Finland", position(11)) graphregion(color(white)) cols(4) xsize(16) ysize(9)
{res}{txt}
{com}. graph export "$dir/figures/figure_OA5D.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
/Users/jaakko/Documents/PA_replication_package/figures/figure_OA5D.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. est clear
{txt}
{com}. 
{txt}end of do-file

{com}. 
. do "$dir/code/Figure_OA6.do" // Figure OA6
{txt}
{com}. clear all
{res}{txt}
{com}. 
. ********************************************************************************
. ********************************************************************************
. **** When Can We Trust Regression Discontinuity Design Estimates from Close ****
. *************** Elections? Evidence from Experimental Benchmarks ***************
. ********************************************************************************
. ********************************************************************************
. 
. * This file produces Figure OA6 in Online Appendix D of De Magalhaes et al. 
. * (Political Analysis).
. 
. cd "$dir"
{res}/Users/jaakko/Documents/PA_replication_package
{txt}
{com}. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. ********************************************************************************
. 
. cd "$dir/temp/"
{res}/Users/jaakko/Documents/PA_replication_package/temp
{txt}
{com}. 
. est clear
{txt}
{com}. 
. // p = 1, MSE-optimal bandwidths
. 
. levelsof country, local(election)
{res}{txt}`"Brazil"' `"Colombia"' `"Denmark"' `"Finland"'

{com}.                 foreach x of local election {c -(}
{txt}  2{com}.                 preserve
{txt}  3{com}.                 forvalues i=-300(10)300 {c -(}
{txt}  4{com}.                         local k = `i'/100
{txt}  5{com}.                         rdrobust electednextelection rv if rv!=0 & country=="`x'", all rho(1) c(`k') vce(cluster constituency) kernel(uniform) bwselect(mserd)
{txt}  6{com}.                         parmest, saving("fake`i'`x'.dta", replace)
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}. 
.                 forvalues i=-300(10)300 {c -(}
{txt}  9{com}. 
.                         use fake`i'`x'.dta, clear
{txt} 10{com}.                         gen cutoff =`i'/100
{txt} 11{com}.                         save, replace
{txt} 12{com}.                         sleep 500
{txt} 13{com}.                 {c )-}
{txt} 14{com}.                 restore
{txt} 15{com}.                 {c )-}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   417254{col 34}   179006{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    41281{col 34}    36538{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.507{col 34}    1.507
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.507{col 34}    1.507
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   282598{col 34}   131787
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5493{col 34}     5488

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0052{col 33} .00427{col 43}1.2189{col 52}0.223{col 60}-.003164{col 73} .013572
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00859{col 33} .00427{col 43}2.0124{col 52}0.044{col 60} .000224{col 73}  .01696
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00859{col 33} .00633{col 43}1.3568{col 52}0.175{col 60} -.00382{col 73} .021004
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-300Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   419929{col 34}   176331{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    38450{col 34}    34031{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.414{col 34}    1.414
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.414{col 34}    1.414
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   284414{col 34}   129971
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5478{col 34}     5468

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0034{col 33} .00452{col 43}0.7520{col 52}0.452{col 60}-.005456{col 73} .012248
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00232{col 33} .00452{col 43}0.5142{col 52}0.607{col 60}-.006529{col 73} .011174
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00232{col 33} .00671{col 43}0.3460{col 52}0.729{col 60}-.010834{col 73} .015478
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-290Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   422470{col 34}   173790{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    35165{col 34}    31509{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.314{col 34}    1.314
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.314{col 34}    1.314
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   286147{col 34}   128238
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5448{col 34}     5451

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} 5.7e-05{col 33} .00477{col 43}0.0120{col 52}0.990{col 60}-.009298{col 73} .009412
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00576{col 33} .00477{col 43}-1.2067{col 52}0.228{col 60}-.015115{col 73} .003596
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00576{col 33} .00713{col 43}-0.8081{col 52}0.419{col 60}-.019729{col 73}  .00821
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-280Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   425024{col 34}   171236{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    33701{col 34}    30294{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.271{col 34}    1.271
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.271{col 34}    1.271
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   287869{col 34}   126516
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5438{col 34}     5435

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00575{col 33} .00498{col 43}-1.1531{col 52}0.249{col 60}-.015513{col 73} .004021
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00927{col 33} .00498{col 43}-1.8610{col 52}0.063{col 60}-.019041{col 73} .000493
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00927{col 33} .00736{col 43}-1.2596{col 52}0.208{col 60}-.023705{col 73} .005157
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-270Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   427590{col 34}   168670{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31501{col 34}    28401{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.200{col 34}    1.200
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.200{col 34}    1.200
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   289607{col 34}   124778
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5417{col 34}     5411

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00918{col 33} .00519{col 43}-1.7700{col 52}0.077{col 60}-.019354{col 73} .000986
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01418{col 33} .00519{col 43}-2.7320{col 52}0.006{col 60}-.024346{col 73}-.004006
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01418{col 33} .00771{col 43}-1.8380{col 52}0.066{col 60}-.029292{col 73}  .00094
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-260Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   429942{col 34}   166318{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30415{col 34}    27720{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.173{col 34}    1.173
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.173{col 34}    1.173
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   291259{col 34}   123126
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5405{col 34}     5397

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00716{col 33}  .0054{col 43}-1.3253{col 52}0.185{col 60}-.017751{col 73}  .00343
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00822{col 33}  .0054{col 43}-1.5212{col 52}0.128{col 60} -.01881{col 73} .002371
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00822{col 33}  .0079{col 43}-1.0399{col 52}0.298{col 60}-.023711{col 73} .007272
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-250Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   432367{col 34}   163893{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30086{col 34}    27394{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.167{col 34}    1.167
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.167{col 34}    1.167
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   292951{col 34}   121434
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5400{col 34}     5386

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00222{col 33} .00547{col 43}-0.4070{col 52}0.684{col 60}-.012939{col 73} .008489
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00394{col 33} .00547{col 43}-0.7205{col 52}0.471{col 60}-.014652{col 73} .006776
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00394{col 33} .00787{col 43}-0.5003{col 52}0.617{col 60}-.019366{col 73}  .01149
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-240Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   434827{col 34}   161433{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30023{col 34}    27300{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.175{col 34}    1.175
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.175{col 34}    1.175
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   294623{col 34}   119762
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5415{col 34}     5396

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00339{col 33}  .0056{col 43}0.6060{col 52}0.544{col 60}-.007581{col 73} .014369
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00911{col 33}  .0056{col 43}1.6269{col 52}0.104{col 60}-.001865{col 73} .020085
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00911{col 33} .00811{col 43}1.1237{col 52}0.261{col 60}-.006779{col 73}    .025
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-230Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   437158{col 34}   159102{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    29679{col 34}    27201{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.178{col 34}    1.178
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.178{col 34}    1.178
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   296222{col 34}   118163
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5397{col 34}     5408

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00573{col 33} .00574{col 43}0.9979{col 52}0.318{col 60}-.005525{col 73} .016987
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02227{col 33} .00574{col 43}3.8784{col 52}0.000{col 60} .011018{col 73}  .03353
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02227{col 33} .00846{col 43}2.6325{col 52}0.008{col 60}  .00569{col 73} .038858
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-220Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   439473{col 34}   156787{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28369{col 34}    26235{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.140{col 34}    1.140
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.140{col 34}    1.140
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   297810{col 34}   116575
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5387{col 34}     5396

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00092{col 33} .00596{col 43}0.1545{col 52}0.877{col 60}-.010765{col 73} .012608
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01114{col 33} .00596{col 43}1.8677{col 52}0.062{col 60} -.00055{col 73} .022823
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01114{col 33} .00882{col 43}1.2620{col 52}0.207{col 60}-.006159{col 73} .028432
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-210Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   441746{col 34}   154514{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28254{col 34}    26244{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.148{col 34}    1.148
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.148{col 34}    1.148
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   299412{col 34}   114973
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5399{col 34}     5397

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00266{col 33} .00608{col 43}-0.4366{col 52}0.662{col 60} -.01458{col 73} .009268
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00075{col 33} .00608{col 43}-0.1225{col 52}0.902{col 60} -.01267{col 73} .011179
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00075{col 33} .00896{col 43}-0.0832{col 52}0.934{col 60}-.018305{col 73} .016814
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-200Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   444204{col 34}   152056{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28465{col 34}    26164{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.160{col 34}    1.160
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.160{col 34}    1.160
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   301070{col 34}   113315
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5400{col 34}     5398

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0023{col 33} .00616{col 43}-0.3727{col 52}0.709{col 60} -.01438{col 73} .009785
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00433{col 33} .00616{col 43}-0.7031{col 52}0.482{col 60}-.016417{col 73} .007748
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00433{col 33} .00888{col 43}-0.4883{col 52}0.625{col 60}-.021733{col 73} .013064
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-190Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   446600{col 34}   149660{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28864{col 34}    26385{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.183{col 34}    1.183
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.183{col 34}    1.183
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   302667{col 34}   111718
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5409{col 34}     5398

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00306{col 33} .00622{col 43}-0.4912{col 52}0.623{col 60}-.015245{col 73} .009135
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00666{col 33} .00622{col 43}-1.0712{col 52}0.284{col 60}-.018852{col 73} .005528
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00666{col 33} .00901{col 43}-0.7394{col 52}0.460{col 60}-.024322{col 73} .010997
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-180Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   449030{col 34}   147230{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    29057{col 34}    26378{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.198{col 34}    1.198
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.198{col 34}    1.198
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   304324{col 34}   110061
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5410{col 34}     5423

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00124{col 33} .00632{col 43}0.1957{col 52}0.845{col 60}-.011147{col 73} .013619
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00272{col 33} .00632{col 43}-0.4298{col 52}0.667{col 60}-.015099{col 73} .009668
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00272{col 33}  .0092{col 43}-0.2950{col 52}0.768{col 60}-.020755{col 73} .015323
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-170Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   451305{col 34}   144955{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    29362{col 34}    26647{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.219{col 34}    1.219
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.219{col 34}    1.219
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   305923{col 34}   108462
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5424{col 34}     5428

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00202{col 33} .00644{col 43}-0.3135{col 52}0.754{col 60}-.014645{col 73} .010606
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00601{col 33} .00644{col 43}-0.9329{col 52}0.351{col 60}-.018635{col 73} .006616
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00601{col 33} .00938{col 43}-0.6408{col 52}0.522{col 60}-.024392{col 73} .012373
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-160Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   453634{col 34}   142626{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30220{col 34}    27217{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.263{col 34}    1.263
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.263{col 34}    1.263
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   307533{col 34}   106852
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5439{col 34}     5448

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00531{col 33} .00647{col 43}-0.8197{col 52}0.412{col 60}-.017997{col 73} .007383
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00022{col 33} .00647{col 43}0.0336{col 52}0.973{col 60}-.012472{col 73} .012908
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00022{col 33} .00933{col 43}0.0233{col 52}0.981{col 60}-.018059{col 73} .018494
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-150Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   455997{col 34}   140263{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30834{col 34}    27545{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.295{col 34}    1.295
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.295{col 34}    1.295
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   309168{col 34}   105217
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5442{col 34}     5449

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00736{col 33} .00653{col 43}-1.1273{col 52}0.260{col 60}-.020147{col 73} .005434
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00423{col 33} .00653{col 43}0.6489{col 52}0.516{col 60}-.008556{col 73} .017025
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00423{col 33} .00935{col 43}0.4529{col 52}0.651{col 60}-.014091{col 73} .022561
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-140Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   458277{col 34}   137983{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31771{col 34}    27032{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.342{col 34}    1.342
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.342{col 34}    1.342
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   310746{col 34}   103639
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5453{col 34}     5436

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00676{col 33} .00661{col 43}-1.0232{col 52}0.306{col 60}-.019712{col 73}  .00619
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01056{col 33} .00661{col 43}1.5980{col 52}0.110{col 60}-.002392{col 73}  .02351
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01056{col 33} .00953{col 43}1.1085{col 52}0.268{col 60} -.00811{col 73} .029228
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-130Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   460455{col 34}   135805{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    32175{col 34}    27262{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.372{col 34}    1.372
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.372{col 34}    1.372
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   312256{col 34}   102129
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5459{col 34}     5388

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00141{col 33} .00659{col 43}0.2145{col 52}0.830{col 60}-.011505{col 73} .014332
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0024{col 33} .00659{col 43}0.3639{col 52}0.716{col 60} -.01052{col 73} .015317
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0024{col 33}  .0096{col 43}0.2498{col 52}0.803{col 60}-.016416{col 73} .021213
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-120Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   462704{col 34}   133556{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    33652{col 34}    28242{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.438{col 34}    1.438
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.438{col 34}    1.438
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   313770{col 34}   100615
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5477{col 34}     5319

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00565{col 33} .00654{col 43}0.8642{col 52}0.387{col 60}-.007167{col 73} .018472
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  -.008{col 33} .00654{col 43}-1.2228{col 52}0.221{col 60}-.020818{col 73} .004822
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  -.008{col 33} .00961{col 43}-0.8324{col 52}0.405{col 60}-.026829{col 73} .010833
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-110Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   464822{col 34}   131438{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    35054{col 34}    29404{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.508{col 34}    1.508
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.508{col 34}    1.508
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   315242{col 34}    99143
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5492{col 34}     5255

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01546{col 33} .00648{col 43}2.3860{col 52}0.017{col 60}  .00276{col 73} .028158
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01033{col 33} .00648{col 43}-1.5951{col 52}0.111{col 60}-.023034{col 73} .002364
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01033{col 33} .00956{col 43}-1.0813{col 52}0.280{col 60}-.029068{col 73} .008398
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-100Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   466962{col 34}   129298{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    34675{col 34}    29087{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.503{col 34}    1.503
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.503{col 34}    1.503
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   316702{col 34}    97683
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5499{col 34}     5155

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01668{col 33} .00658{col 43}2.5343{col 52}0.011{col 60} .003781{col 73} .029583
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01459{col 33} .00658{col 43}-2.2164{col 52}0.027{col 60}-.027491{col 73}-.001688
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01459{col 33} .00965{col 43}-1.5117{col 52}0.131{col 60}-.033505{col 73} .004326
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-90Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   469107{col 34}   127153{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36398{col 34}    30217{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.586{col 34}    1.586
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.586{col 34}    1.586
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   318169{col 34}    96216
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5506{col 34}     5027

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02475{col 33} .00653{col 43}3.7877{col 52}0.000{col 60} .011942{col 73} .037554
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00372{col 33} .00653{col 43}-0.5699{col 52}0.569{col 60} -.01653{col 73} .009082
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00372{col 33} .00953{col 43}-0.3906{col 52}0.696{col 60}-.022409{col 73} .014961
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-80Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   471184{col 34}   125076{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36377{col 34}    30259{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.601{col 34}    1.601
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.601{col 34}    1.601
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   319643{col 34}    94742
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5510{col 34}     5159

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01854{col 33} .00652{col 43}2.8417{col 52}0.004{col 60} .005752{col 73} .031324
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01507{col 33} .00652{col 43}-2.3094{col 52}0.021{col 60}-.027851{col 73}-.002279
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01507{col 33} .00952{col 43}-1.5824{col 52}0.114{col 60}-.033725{col 73} .003594
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-70Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   473355{col 34}   122905{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    39564{col 34}    32411{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.740{col 34}    1.740
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.740{col 34}    1.740
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   321154{col 34}    93231
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5523{col 34}     5345

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02879{col 33} .00633{col 43}4.5475{col 52}0.000{col 60} .016381{col 73} .041197
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00657{col 33} .00633{col 43}1.0373{col 52}0.300{col 60}-.005841{col 73} .018975
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00657{col 33}  .0093{col 43}0.7063{col 52}0.480{col 60}-.011657{col 73}  .02479
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-60Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   475449{col 34}   120811{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    41000{col 34}    33335{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.814{col 34}    1.814
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.814{col 34}    1.814
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   322586{col 34}    91799
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5534{col 34}     5440

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03539{col 33} .00633{col 43}5.5934{col 52}0.000{col 60} .022989{col 73}  .04779
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02284{col 33} .00633{col 43}3.6098{col 52}0.000{col 60} .010439{col 73}  .03524
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02284{col 33} .00931{col 43}2.4540{col 52}0.014{col 60} .004598{col 73} .041081
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-50Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   477537{col 34}   118723{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    39746{col 34}    32294{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.773{col 34}    1.773
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.773{col 34}    1.773
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   324054{col 34}    90331
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5531{col 34}     5459

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03762{col 33} .00653{col 43}5.7644{col 52}0.000{col 60} .024826{col 73} .050405
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03227{col 33} .00653{col 43}4.9453{col 52}0.000{col 60} .019481{col 73}  .04506
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03227{col 33} .00958{col 43}3.3677{col 52}0.001{col 60} .013489{col 73} .051051
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-40Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   479583{col 34}   116677{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    38280{col 34}    31060{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.722{col 34}    1.722
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.722{col 34}    1.722
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   325497{col 34}    88888
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5533{col 34}     5470

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03143{col 33}  .0067{col 43}4.6928{col 52}0.000{col 60}   .0183{col 73} .044551
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03689{col 33}  .0067{col 43}5.5085{col 52}0.000{col 60} .023763{col 73} .050013
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03689{col 33} .01006{col 43}3.6664{col 52}0.000{col 60} .017169{col 73} .056607
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-30Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   481621{col 34}   114639{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    37078{col 34}    30074{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.684{col 34}    1.684
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.684{col 34}    1.684
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   326948{col 34}    87437
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5530{col 34}     5481

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01905{col 33} .00692{col 43}2.7548{col 52}0.006{col 60} .005497{col 73} .032608
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02149{col 33} .00692{col 43}3.1077{col 52}0.002{col 60} .007938{col 73} .035048
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02149{col 33} .01047{col 43}2.0536{col 52}0.040{col 60}  .00098{col 73} .042006
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-20Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   483631{col 34}   112629{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    34961{col 34}    28574{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.614{col 34}    1.614
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.614{col 34}    1.614
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   328447{col 34}    85938
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5517{col 34}     5487

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00026{col 33} .00718{col 43}0.0364{col 52}0.971{col 60}-.013808{col 73}  .01433
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01105{col 33} .00718{col 43}-1.5392{col 52}0.124{col 60}-.025117{col 73}  .00302
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01105{col 33} .01123{col 43}-0.9842{col 52}0.325{col 60} -.03305{col 73} .010954
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-10Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31778{col 34}    27276{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.518{col 34}    1.518
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.518{col 34}    1.518
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5489{col 34}     5488

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02522{col 33} .00766{col 43}-3.2920{col 52}0.001{col 60}-.040242{col 73}-.010206
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05606{col 33} .00766{col 43}-7.3159{col 52}0.000{col 60}-.071074{col 73}-.041038
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05606{col 33} .01194{col 43}-4.6963{col 52}0.000{col 60}-.079451{col 73}-.032661
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake0Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   486336{col 34}   109924{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30081{col 34}    27099{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.487{col 34}    1.487
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.487{col 34}    1.487
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   330780{col 34}    83605
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5461{col 34}     5489

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02603{col 33}  .0077{col 43}-3.3801{col 52}0.001{col 60}-.041116{col 73}-.010934
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04709{col 33}  .0077{col 43}-6.1156{col 52}0.000{col 60}-.062179{col 73}-.031997
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04709{col 33} .01173{col 43}-4.0144{col 52}0.000{col 60}-.070078{col 73}-.024098
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake10Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   488275{col 34}   107985{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30649{col 34}    27427{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.528{col 34}    1.528
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.528{col 34}    1.528
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   332243{col 34}    82142
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5445{col 34}     5503

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02677{col 33} .00769{col 43}-3.4825{col 52}0.000{col 60}-.041841{col 73}-.011705
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02933{col 33} .00769{col 43}-3.8151{col 52}0.000{col 60}-.044398{col 73}-.014262
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02933{col 33} .01133{col 43}-2.5893{col 52}0.010{col 60}-.051531{col 73}-.007129
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake20Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   490255{col 34}   106005{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30708{col 34}    27319{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.543{col 34}    1.543
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.543{col 34}    1.543
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   333651{col 34}    80734
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5416{col 34}     5509

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0292{col 33}  .0077{col 43}-3.7945{col 52}0.000{col 60}-.044281{col 73}-.014117
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02863{col 33}  .0077{col 43}-3.7207{col 52}0.000{col 60}-.043713{col 73}-.013549
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02863{col 33} .01122{col 43}-2.5508{col 52}0.011{col 60} -.05063{col 73}-.006631
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake30Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   492206{col 34}   104054{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31660{col 34}    27813{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.596{col 34}    1.596
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.596{col 34}    1.596
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   335040{col 34}    79345
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5382{col 34}     5513

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01561{col 33} .00761{col 43}-2.0519{col 52}0.040{col 60}-.030527{col 73}-.000699
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00073{col 33} .00761{col 43}0.0960{col 52}0.924{col 60}-.014184{col 73} .015644
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00073{col 33} .01117{col 43}0.0654{col 52}0.948{col 60}-.021164{col 73} .022624
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake40Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   494096{col 34}   102164{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31726{col 34}    27758{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.614{col 34}    1.614
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.614{col 34}    1.614
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   336371{col 34}    78014
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5333{col 34}     5503

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01449{col 33} .00769{col 43}-1.8855{col 52}0.059{col 60}-.029554{col 73} .000572
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00679{col 33} .00769{col 43}0.8831{col 52}0.377{col 60}-.008276{col 73} .021851
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00679{col 33} .01133{col 43}0.5990{col 52}0.549{col 60}-.015423{col 73} .028997
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake50Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   495991{col 34}   100269{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    32175{col 34}    27909{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.650{col 34}    1.650
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.650{col 34}    1.650
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   337696{col 34}    76689
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5289{col 34}     5501

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01653{col 33} .00761{col 43}-2.1709{col 52}0.030{col 60}-.031456{col 73}-.001606
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01101{col 33} .00761{col 43}1.4452{col 52}0.148{col 60}-.003919{col 73}  .02593
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01101{col 33}  .0114{col 43}0.9658{col 52}0.334{col 60}-.011329{col 73} .033339
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake60Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   497829{col 34}    98431{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    33016{col 34}    28268{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.701{col 34}    1.701
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.701{col 34}    1.701
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   339000{col 34}    75385
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5257{col 34}     5508

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01137{col 33}  .0076{col 43}-1.4954{col 52}0.135{col 60}-.026265{col 73} .003531
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01815{col 33}  .0076{col 43}2.3874{col 52}0.017{col 60} .003249{col 73} .033046
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01815{col 33} .01141{col 43}1.5901{col 52}0.112{col 60}-.004221{col 73} .040516
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake70Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   499578{col 34}    96682{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    32920{col 34}    28101{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.714{col 34}    1.714
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.714{col 34}    1.714
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   340269{col 34}    74116
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5175{col 34}     5505

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0084{col 33} .00758{col 43}-1.1078{col 52}0.268{col 60}-.023267{col 73} .006463
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02431{col 33} .00758{col 43}3.2049{col 52}0.001{col 60} .009442{col 73} .039173
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02431{col 33} .01131{col 43}2.1496{col 52}0.032{col 60} .002144{col 73} .046471
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake80Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   501425{col 34}    94835{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    33864{col 34}    28495{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.773{col 34}    1.773
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.773{col 34}    1.773
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   341545{col 34}    72840
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5159{col 34}     5513

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01162{col 33}  .0075{col 43}-1.5484{col 52}0.122{col 60}-.026318{col 73} .003087
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00977{col 33}  .0075{col 43}1.3024{col 52}0.193{col 60}-.004932{col 73} .024473
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00977{col 33} .01122{col 43}0.8708{col 52}0.384{col 60}-.012221{col 73} .031762
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake90Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   503229{col 34}    93031{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    34567{col 34}    28804{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.820{col 34}    1.820
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.820{col 34}    1.820
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   342819{col 34}    71566
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5260{col 34}     5513

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01042{col 33} .00751{col 43}-1.3874{col 52}0.165{col 60}-.025134{col 73} .004299
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00577{col 33} .00751{col 43}0.7678{col 52}0.443{col 60}-.008951{col 73} .020482
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00577{col 33} .01111{col 43}0.5190{col 52}0.604{col 60}-.016009{col 73} .027539
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake100Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   505005{col 34}    91255{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    34142{col 34}    28271{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.815{col 34}    1.815
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.815{col 34}    1.815
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   344062{col 34}    70323
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5322{col 34}     5510

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01679{col 33}  .0075{col 43}-2.2371{col 52}0.025{col 60}-.031496{col 73} -.00208
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00986{col 33}  .0075{col 43}-1.3135{col 52}0.189{col 60}-.024564{col 73} .004852
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00986{col 33} .01111{col 43}-0.8870{col 52}0.375{col 60}-.031636{col 73} .011923
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake110Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   506825{col 34}    89435{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    35621{col 34}    28900{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.899{col 34}    1.899
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.899{col 34}    1.899
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   345321{col 34}    69064
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5390{col 34}     5517

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00834{col 33}  .0074{col 43}-1.1270{col 52}0.260{col 60}-.022856{col 73} .006167
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01639{col 33}  .0074{col 43}2.2136{col 52}0.027{col 60} .001878{col 73} .030901
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01639{col 33} .01088{col 43}1.5070{col 52}0.132{col 60}-.004927{col 73} .037705
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake120Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   508527{col 34}    87733{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36693{col 34}    29274{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.970{col 34}    1.970
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.970{col 34}    1.970
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   346533{col 34}    67852
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5436{col 34}     5518

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00512{col 33} .00732{col 43}-0.6991{col 52}0.484{col 60}-.019459{col 73} .009227
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00921{col 33} .00732{col 43}1.2591{col 52}0.208{col 60}-.005129{col 73} .023558
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00921{col 33} .01075{col 43}0.8571{col 52}0.391{col 60}-.011857{col 73} .030286
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake130Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   510275{col 34}    85985{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    38301{col 34}    29830{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.063{col 34}    2.063
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.063{col 34}    2.063
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   347755{col 34}    66630
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5465{col 34}     5518

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0077{col 33} .00724{col 43}-1.0646{col 52}0.287{col 60}-.021887{col 73} .006479
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00168{col 33} .00724{col 43}0.2324{col 52}0.816{col 60}-.012502{col 73} .015864
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00168{col 33}  .0107{col 43}0.1571{col 52}0.875{col 60}-.019297{col 73}  .02266
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake140Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   511964{col 34}    84296{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    42582{col 34}    31698{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.287{col 34}    2.287
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.287{col 34}    2.287
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   348926{col 34}    65459
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5487{col 34}     5535

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00465{col 33} .00703{col 43}-0.6622{col 52}0.508{col 60}-.018423{col 73} .009118
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01542{col 33} .00703{col 43}2.1952{col 52}0.028{col 60} .001653{col 73} .029194
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01542{col 33} .01021{col 43}1.5104{col 52}0.131{col 60}-.004591{col 73} .035438
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake150Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   513656{col 34}    82604{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    46597{col 34}    33366{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.496{col 34}    2.496
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.496{col 34}    2.496
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   350122{col 34}    64263
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5505{col 34}     5543

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00245{col 33} .00678{col 43}-0.3611{col 52}0.718{col 60}-.015746{col 73} .010846
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02608{col 33} .00678{col 43}3.8448{col 52}0.000{col 60} .012786{col 73} .039378
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02608{col 33} .00986{col 43}2.6456{col 52}0.008{col 60}  .00676{col 73} .045405
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake160Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   515238{col 34}    81022{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    47917{col 34}    33750{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.584{col 34}    2.584
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.584{col 34}    2.584
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   351247{col 34}    63138
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5523{col 34}     5552

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00751{col 33} .00672{col 43}-1.1182{col 52}0.263{col 60}-.020682{col 73} .005656
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01519{col 33} .00672{col 43}2.2605{col 52}0.024{col 60} .002019{col 73} .028357
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01519{col 33} .00984{col 43}1.5431{col 52}0.123{col 60}-.004103{col 73} .034479
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake170Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   516852{col 34}    79408{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    52934{col 34}    35657{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.845{col 34}    2.845
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.845{col 34}    2.845
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   352391{col 34}    61994
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5532{col 34}     5555

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00891{col 33} .00651{col 43}-1.3687{col 52}0.171{col 60}-.021657{col 73} .003847
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01923{col 33} .00651{col 43}2.9550{col 52}0.003{col 60} .006474{col 73} .031978
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01923{col 33} .00952{col 43}2.0205{col 52}0.043{col 60} .000576{col 73} .037876
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake180Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   518523{col 34}    77737{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    52069{col 34}    34752{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.824{col 34}    2.824
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.824{col 34}    2.824
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   353556{col 34}    60829
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5539{col 34}     5554

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00924{col 33} .00661{col 43}-1.3991{col 52}0.162{col 60}-.022191{col 73} .003705
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01125{col 33} .00661{col 43}1.7034{col 52}0.088{col 60}-.001695{col 73} .024201
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01125{col 33} .00968{col 43}1.1630{col 52}0.245{col 60}-.007711{col 73} .030217
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake190Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   520067{col 34}    76193{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    58419{col 34}    36779{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.146{col 34}    3.146
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.146{col 34}    3.146
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   354678{col 34}    59707
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5550{col 34}     5557

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01106{col 33} .00634{col 43}-1.7433{col 52}0.081{col 60}-.023485{col 73} .001374
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01803{col 33} .00634{col 43}2.8424{col 52}0.004{col 60} .005596{col 73} .030456
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01803{col 33} .00926{col 43}1.9466{col 52}0.052{col 60}-.000124{col 73} .036176
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake200Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   521636{col 34}    74624{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    59994{col 34}    36854{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.246{col 34}    3.246
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.246{col 34}    3.246
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   355822{col 34}    58563
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5550{col 34}     5559

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01454{col 33} .00628{col 43}-2.3144{col 52}0.021{col 60}-.026859{col 73}-.002227
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01241{col 33} .00628{col 43}1.9745{col 52}0.048{col 60} .000092{col 73} .024723
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01241{col 33} .00924{col 43}1.3427{col 52}0.179{col 60}-.005704{col 73} .030518
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake210Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   523189{col 34}    73071{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    60695{col 34}    36585{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.309{col 34}    3.309
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.309{col 34}    3.309
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   356908{col 34}    57477
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5554{col 34}     5558

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01348{col 33}  .0063{col 43}-2.1388{col 52}0.032{col 60}-.025837{col 73}-.001127
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01358{col 33}  .0063{col 43}2.1543{col 52}0.031{col 60} .001225{col 73} .025935
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01358{col 33} .00928{col 43}1.4629{col 52}0.144{col 60}-.004615{col 73} .031775
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake220Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   524629{col 34}    71631{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    58546{col 34}    35404{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.241{col 34}    3.241
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.241{col 34}    3.241
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   357947{col 34}    56438
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5556{col 34}     5557

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01791{col 33}  .0064{col 43}-2.8006{col 52}0.005{col 60} -.03045{col 73}-.005377
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00169{col 33}  .0064{col 43}0.2642{col 52}0.792{col 60}-.010847{col 73} .014226
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00169{col 33} .00941{col 43}0.1795{col 52}0.858{col 60}-.016761{col 73} .020141
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake230Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   526075{col 34}    70185{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    59501{col 34}    35281{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.318{col 34}    3.318
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.318{col 34}    3.318
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   358976{col 34}    55409
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5557

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01414{col 33} .00643{col 43}-2.1984{col 52}0.028{col 60}-.026756{col 73}-.001534
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00555{col 33} .00643{col 43}0.8632{col 52}0.388{col 60}-.007057{col 73} .018164
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00555{col 33} .00944{col 43}0.5883{col 52}0.556{col 60}-.012948{col 73} .024055
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake240Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   527475{col 34}    68785{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    57185{col 34}    34063{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.244{col 34}    3.244
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.244{col 34}    3.244
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   359987{col 34}    54398
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5554

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01207{col 33} .00659{col 43}-1.8313{col 52}0.067{col 60}-.024989{col 73} .000848
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00046{col 33} .00659{col 43}0.0690{col 52}0.945{col 60}-.012464{col 73} .013374
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00046{col 33} .00961{col 43}0.0473{col 52}0.962{col 60}-.018389{col 73} .019299
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake250Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   528901{col 34}    67359{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    51337{col 34}    31571{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.999{col 34}    2.999
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.999{col 34}    2.999
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   360999{col 34}    53386
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5547

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00403{col 33} .00691{col 43}-0.5832{col 52}0.560{col 60}-.017575{col 73} .009514
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00948{col 33} .00691{col 43}-1.3719{col 52}0.170{col 60}-.023026{col 73} .004064
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00948{col 33} .01006{col 43}-0.9428{col 52}0.346{col 60} -.02919{col 73} .010228
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake260Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   530293{col 34}    65967{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    45109{col 34}    28362{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.667{col 34}    2.667
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.667{col 34}    2.667
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   361974{col 34}    52411
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5538

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00199{col 33} .00734{col 43}-0.2709{col 52}0.786{col 60}-.016364{col 73}  .01239
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01068{col 33} .00734{col 43}1.4567{col 52}0.145{col 60}-.003692{col 73} .025062
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01068{col 33} .01077{col 43}0.9925{col 52}0.321{col 60}-.010414{col 73} .031784
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake270Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   531718{col 34}    64542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    45437{col 34}    28012{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.703{col 34}    2.703
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.703{col 34}    2.703
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   362987{col 34}    51398
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5534

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00448{col 33} .00733{col 43}-0.6111{col 52}0.541{col 60}-.018847{col 73} .009888
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00226{col 33} .00733{col 43}0.3088{col 52}0.757{col 60}-.012104{col 73} .016631
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00226{col 33} .01069{col 43}0.2117{col 52}0.832{col 60}-.018697{col 73} .023224
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake280Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   533073{col 34}    63187{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    41278{col 34}    25983{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.520{col 34}    2.520
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.520{col 34}    2.520
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   363951{col 34}    50434
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5556{col 34}     5517

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00115{col 33} .00764{col 43}-0.1508{col 52}0.880{col 60}-.016129{col 73} .013824
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00875{col 33} .00764{col 43}1.1449{col 52}0.252{col 60}-.006228{col 73} .023725
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00875{col 33} .01132{col 43}0.7727{col 52}0.440{col 60}-.013443{col 73}  .03094
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake290Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   534417{col 34}    61843{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    41674{col 34}    25821{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.571{col 34}    2.571
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.571{col 34}    2.571
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   364917{col 34}    49468
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5554{col 34}     5514

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0046{col 33}  .0077{col 43}-0.5968{col 52}0.551{col 60}-.019694{col 73}   .0105
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00166{col 33}  .0077{col 43}0.2159{col 52}0.829{col 60}-.013434{col 73}  .01676
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00166{col 33} .01134{col 43}0.1467{col 52}0.883{col 60}-.020555{col 73} .023881
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake300Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    95473{col 34}    52098{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15093{col 34}    14214{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.245{col 34}    2.245
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.245{col 34}    2.245
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    69612{col 34}    42042
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1096

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00193{col 33} .00618{col 43}-0.3122{col 52}0.755{col 60}-.014046{col 73} .010187
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00852{col 33} .00618{col 43}-1.3790{col 52}0.168{col 60}-.020641{col 73} .003591
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00852{col 33} .00921{col 43}-0.9252{col 52}0.355{col 60}-.026585{col 73} .009535
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-300Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    96131{col 34}    51440{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14717{col 34}    13881{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.199{col 34}    2.199
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.199{col 34}    2.199
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70108{col 34}    41546
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1095

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00131{col 33} .00644{col 43}0.2028{col 52}0.839{col 60}-.011322{col 73} .013936
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0102{col 33} .00644{col 43}-1.5836{col 52}0.113{col 60}-.022833{col 73} .002425
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0102{col 33} .00939{col 43}-1.0866{col 52}0.277{col 60}-.028609{col 73} .008201
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-290Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    96776{col 34}    50795{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14888{col 34}    14003{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.231{col 34}    2.231
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.231{col 34}    2.231
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70588{col 34}    41066
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1095{col 34}     1094

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00592{col 33} .00657{col 43}0.9005{col 52}0.368{col 60}-.006961{col 73} .018796
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00584{col 33} .00657{col 43}-0.8886{col 52}0.374{col 60}-.018718{col 73}  .00704
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00584{col 33} .00952{col 43}-0.6135{col 52}0.540{col 60}-.024493{col 73} .012816
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-280Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    97440{col 34}    50131{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14015{col 34}    13118{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.095{col 34}    2.095
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.095{col 34}    2.095
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71061{col 34}    40593
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1095{col 34}     1094

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00023{col 33} .00677{col 43}0.0338{col 52}0.973{col 60} -.01304{col 73} .013497
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01626{col 33} .00677{col 43}-2.4025{col 52}0.016{col 60}-.029533{col 73}-.002996
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01626{col 33} .00973{col 43}-1.6711{col 52}0.095{col 60}-.035341{col 73} .002812
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-270Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    98102{col 34}    49469{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13514{col 34}    12597{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.018{col 34}    2.018
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.018{col 34}    2.018
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71543{col 34}    40111
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1092{col 34}     1094

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00321{col 33}   .007{col 43}-0.4591{col 52}0.646{col 60}-.016922{col 73} .010499
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02024{col 33}   .007{col 43}-2.8930{col 52}0.004{col 60}-.033949{col 73}-.006527
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02024{col 33} .00999{col 43}-2.0255{col 52}0.043{col 60} -.03982{col 73}-.000655
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-260Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    98772{col 34}    48799{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13108{col 34}    12142{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.957{col 34}    1.957
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.957{col 34}    1.957
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72057{col 34}    39597
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1091{col 34}     1093

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00256{col 33} .00711{col 43}-0.3605{col 52}0.719{col 60}-.016497{col 73} .011372
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01893{col 33} .00711{col 43}-2.6621{col 52}0.008{col 60}-.032861{col 73}-.004992
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01893{col 33} .01021{col 43}-1.8536{col 52}0.064{col 60}-.038939{col 73} .001086
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-250Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    99427{col 34}    48144{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12865{col 34}    11851{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.923{col 34}    1.923
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.923{col 34}    1.923
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72545{col 34}    39109
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1094{col 34}     1091

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00455{col 33} .00728{col 43}-0.6252{col 52}0.532{col 60}-.018832{col 73} .009723
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0097{col 33} .00728{col 43}-1.3311{col 52}0.183{col 60}-.023974{col 73} .004581
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0097{col 33} .01056{col 43}-0.9186{col 52}0.358{col 60}-.030386{col 73} .010993
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-240Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   100081{col 34}    47490{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12973{col 34}    11879{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.936{col 34}    1.936
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.936{col 34}    1.936
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73046{col 34}    38608
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1093{col 34}     1091

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00142{col 33} .00735{col 43}-0.1934{col 52}0.847{col 60}-.015819{col 73} .012978
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01424{col 33} .00735{col 43}-1.9382{col 52}0.053{col 60}-.028636{col 73}  .00016
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01424{col 33}  .0109{col 43}-1.3064{col 52}0.191{col 60}  -.0356{col 73} .007123
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-230Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   100716{col 34}    46855{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12433{col 34}    11418{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.867{col 34}    1.867
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.867{col 34}    1.867
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73522{col 34}    38132
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1095{col 34}     1089

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00316{col 33} .00757{col 43}0.4175{col 52}0.676{col 60}-.011674{col 73} .017993
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00428{col 33} .00757{col 43}-0.5649{col 52}0.572{col 60}-.019109{col 73} .010558
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00428{col 33} .01106{col 43}-0.3866{col 52}0.699{col 60}-.025949{col 73} .017398
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-220Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   101388{col 34}    46183{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12856{col 34}    11669{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.930{col 34}    1.930
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.930{col 34}    1.930
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    74028{col 34}    37626
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1095{col 34}     1090

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00597{col 33} .00772{col 43}0.7743{col 52}0.439{col 60}-.009149{col 73} .021098
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00977{col 33} .00772{col 43}1.2668{col 52}0.205{col 60}-.005349{col 73} .024898
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00977{col 33} .01143{col 43}0.8550{col 52}0.393{col 60}-.012634{col 73} .032183
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-210Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   102052{col 34}    45519{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13222{col 34}    11695{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.981{col 34}    1.981
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.981{col 34}    1.981
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    74519{col 34}    37135
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1094{col 34}     1088

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01053{col 33}  .0079{col 43}1.3329{col 52}0.183{col 60}-.004955{col 73}  .02602
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02906{col 33}  .0079{col 43}3.6773{col 52}0.000{col 60}  .01357{col 73} .044545
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02906{col 33} .01161{col 43}2.5024{col 52}0.012{col 60} .006299{col 73} .051816
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-200Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   102726{col 34}    44845{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13152{col 34}    11161{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.969{col 34}    1.969
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.969{col 34}    1.969
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    75032{col 34}    36622
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1095{col 34}     1086

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00923{col 33}  .0083{col 43}1.1125{col 52}0.266{col 60}-.007031{col 73} .025493
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03401{col 33}  .0083{col 43}4.0988{col 52}0.000{col 60} .017746{col 73}  .05027
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03401{col 33} .01206{col 43}2.8193{col 52}0.005{col 60} .010366{col 73} .057649
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-190Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   103360{col 34}    44211{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12730{col 34}    10749{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.915{col 34}    1.915
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.915{col 34}    1.915
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    75510{col 34}    36144
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1093{col 34}     1082

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0029{col 33} .00843{col 43}0.3434{col 52}0.731{col 60}-.013635{col 73} .019429
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02112{col 33} .00843{col 43}2.5034{col 52}0.012{col 60} .004584{col 73} .037648
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02112{col 33} .01225{col 43}1.7243{col 52}0.085{col 60}-.002886{col 73} .045118
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-180Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   103990{col 34}    43581{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13275{col 34}    11149{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.002{col 34}    2.002
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.002{col 34}    2.002
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    75995{col 34}    35659
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1094{col 34}     1081

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00172{col 33} .00828{col 43}-0.2077{col 52}0.835{col 60}-.017951{col 73} .014511
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02709{col 33} .00828{col 43}3.2714{col 52}0.001{col 60}  .01086{col 73} .043322
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02709{col 33}  .0124{col 43}2.1856{col 52}0.029{col 60} .002797{col 73} .051385
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-170Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   104589{col 34}    42982{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13338{col 34}    11166{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.024{col 34}    2.024
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.024{col 34}    2.024
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    76452{col 34}    35202
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1081

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01121{col 33} .00846{col 43}-1.3254{col 52}0.185{col 60}-.027789{col 73} .005367
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00823{col 33} .00846{col 43}0.9724{col 52}0.331{col 60}-.008353{col 73} .024803
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00823{col 33} .01243{col 43}0.6616{col 52}0.508{col 60}-.016143{col 73} .032593
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-160Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   105236{col 34}    42335{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13193{col 34}    10965{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.002{col 34}    2.002
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.002{col 34}    2.002
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    76945{col 34}    34709
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1076

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00763{col 33} .00874{col 43}-0.8729{col 52}0.383{col 60}-.024761{col 73} .009502
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0154{col 33} .00874{col 43}1.7622{col 52}0.078{col 60}-.001729{col 73} .032534
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0154{col 33} .01288{col 43}1.1960{col 52}0.232{col 60} -.00984{col 73} .040645
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-150Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   105825{col 34}    41746{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13015{col 34}    10837{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.996{col 34}    1.996
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.996{col 34}    1.996
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    77383{col 34}    34271
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1095{col 34}     1073

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00614{col 33} .00893{col 43}-0.6875{col 52}0.492{col 60}-.023647{col 73} .011366
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00794{col 33} .00893{col 43}0.8885{col 52}0.374{col 60} -.00957{col 73} .025442
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00794{col 33}  .0133{col 43}0.5967{col 52}0.551{col 60}-.018129{col 73} .034001
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-140Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   106461{col 34}    41110{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12377{col 34}    10226{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.901{col 34}    1.901
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.901{col 34}    1.901
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    77862{col 34}    33792
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1093{col 34}     1070

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01756{col 33} .00919{col 43}-1.9110{col 52}0.056{col 60}-.035574{col 73}  .00045
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01382{col 33} .00919{col 43}-1.5041{col 52}0.133{col 60}-.031835{col 73} .004189
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01382{col 33} .01388{col 43}-0.9958{col 52}0.319{col 60} -.04103{col 73} .013384
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-130Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   107035{col 34}    40536{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11821{col 34}     9838{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.836{col 34}    1.836
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.836{col 34}    1.836
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    78303{col 34}    33351
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1093{col 34}     1064

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03214{col 33} .00929{col 43}-3.4581{col 52}0.001{col 60}-.050354{col 73}-.013923
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03151{col 33} .00929{col 43}-3.3907{col 52}0.001{col 60}-.049727{col 73}-.013296
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03151{col 33} .01398{col 43}-2.2539{col 52}0.024{col 60}-.058913{col 73} -.00411
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-120Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   107622{col 34}    39949{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12053{col 34}    10006{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.887{col 34}    1.887
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.887{col 34}    1.887
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    78742{col 34}    32912
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1093{col 34}     1056

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02206{col 33} .00914{col 43}-2.4149{col 52}0.016{col 60}-.039973{col 73}-.004156
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03467{col 33} .00914{col 43}-3.7942{col 52}0.000{col 60}-.052576{col 73} -.01676
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03467{col 33} .01386{col 43}-2.5005{col 52}0.012{col 60}-.061841{col 73}-.007495
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-110Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108210{col 34}    39361{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12233{col 34}    10127{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.923{col 34}    1.923
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.923{col 34}    1.923
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    79192{col 34}    32462
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1045

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01798{col 33} .00915{col 43}-1.9650{col 52}0.049{col 60}-.035905{col 73}-.000046
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0414{col 33} .00915{col 43}-4.5257{col 52}0.000{col 60}-.059331{col 73}-.023471
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0414{col 33} .01354{col 43}-3.0586{col 52}0.002{col 60}-.067931{col 73}-.014871
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-100Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108812{col 34}    38759{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12496{col 34}    10275{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.972{col 34}    1.972
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.972{col 34}    1.972
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    79640{col 34}    32014
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1094{col 34}     1055

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01048{col 33} .00913{col 43}-1.1476{col 52}0.251{col 60}-.028376{col 73} .007419
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04066{col 33} .00913{col 43}-4.4525{col 52}0.000{col 60}-.058556{col 73}-.022761
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04066{col 33} .01302{col 43}-3.1220{col 52}0.002{col 60}-.066183{col 73}-.015134
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-90Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   109420{col 34}    38151{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13336{col 34}    10772{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.108{col 34}    2.108
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.108{col 34}    2.108
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    80118{col 34}    31536
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1071

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00072{col 33} .00902{col 43}-0.0799{col 52}0.936{col 60} -.01841{col 73} .016967
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0223{col 33} .00902{col 43}-2.4712{col 52}0.013{col 60}-.039991{col 73}-.004614
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0223{col 33} .01302{col 43}-1.7125{col 52}0.087{col 60}-.047828{col 73} .003222
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-80Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   110015{col 34}    37556{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14238{col 34}    11309{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.253{col 34}    2.253
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.253{col 34}    2.253
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    80580{col 34}    31074
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1078

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01569{col 33} .00884{col 43}1.7735{col 52}0.076{col 60}-.001649{col 73} .033021
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00393{col 33} .00884{col 43}-0.4448{col 52}0.656{col 60}-.021269{col 73} .013401
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00393{col 33} .01302{col 43}-0.3022{col 52}0.762{col 60}-.029448{col 73} .021579
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-70Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   110590{col 34}    36981{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15737{col 34}    12273{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.493{col 34}    2.493
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.493{col 34}    2.493
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    81033{col 34}    30621
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1086

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02631{col 33} .00862{col 43}3.0531{col 52}0.002{col 60} .009419{col 73} .043193
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00964{col 33} .00862{col 43}1.1193{col 52}0.263{col 60}-.007243{col 73} .026531
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00964{col 33} .01294{col 43}0.7452{col 52}0.456{col 60}-.015719{col 73} .035007
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-60Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   111144{col 34}    36427{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15337{col 34}    12002{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.447{col 34}    2.447
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.447{col 34}    2.447
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    81455{col 34}    30199
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1088

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02266{col 33} .00896{col 43}2.5289{col 52}0.011{col 60} .005098{col 73} .040221
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00776{col 33} .00896{col 43}-0.8663{col 52}0.386{col 60}-.025324{col 73}   .0098
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00776{col 33} .01307{col 43}-0.5939{col 52}0.553{col 60}-.033377{col 73} .017853
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-50Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   111767{col 34}    35804{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16693{col 34}    12741{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.659{col 34}    2.659
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.659{col 34}    2.659
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    81931{col 34}    29723
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1095

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03898{col 33} .00888{col 43}4.3913{col 52}0.000{col 60}  .02158{col 73} .056373
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0167{col 33} .00888{col 43}1.8815{col 52}0.060{col 60}-.000696{col 73} .034096
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0167{col 33} .01257{col 43}1.3290{col 52}0.184{col 60}-.007929{col 73} .041329
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-40Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   112330{col 34}    35241{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18635{col 34}    13801{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.961{col 34}    2.961
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.961{col 34}    2.961
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    82378{col 34}    29276
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1098{col 34}     1096

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05597{col 33} .00852{col 43}6.5676{col 52}0.000{col 60} .039266{col 73} .072671
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03665{col 33} .00852{col 43}4.3003{col 52}0.000{col 60} .019944{col 73}  .05335
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03665{col 33} .01239{col 43}2.9590{col 52}0.003{col 60} .012373{col 73} .060921
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-30Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   112903{col 34}    34668{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18508{col 34}    13616{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.960{col 34}    2.960
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.960{col 34}    2.960
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    82840{col 34}    28814
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1096

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05465{col 33} .00889{col 43}6.1446{col 52}0.000{col 60} .037219{col 73} .072083
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03815{col 33} .00889{col 43}4.2894{col 52}0.000{col 60} .020718{col 73} .055583
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03815{col 33} .01321{col 43}2.8885{col 52}0.004{col 60} .012264{col 73} .064037
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-20Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113472{col 34}    34099{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18676{col 34}    13548{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.002{col 34}    3.002
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.002{col 34}    3.002
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83315{col 34}    28339
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1097

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04982{col 33} .00908{col 43}5.4847{col 52}0.000{col 60}  .03202{col 73}  .06763
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03979{col 33} .00908{col 43}4.3802{col 52}0.000{col 60} .021986{col 73} .057596
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03979{col 33} .01382{col 43}2.8797{col 52}0.004{col 60} .012708{col 73} .066873
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-10Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19957{col 34}    14569{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.245{col 34}    3.245
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.245{col 34}    3.245
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1098{col 34}     1098

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05175{col 33} .00885{col 43}5.8469{col 52}0.000{col 60} .034401{col 73} .069094
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03995{col 33} .00885{col 43}4.5138{col 52}0.000{col 60} .022602{col 73} .057295
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03995{col 33} .01362{col 43}2.9330{col 52}0.003{col 60} .013253{col 73} .066645
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake0Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114029{col 34}    33542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17724{col 34}    13652{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.974{col 34}    2.974
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.974{col 34}    2.974
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83842{col 34}    27812
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1097

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04329{col 33} .00912{col 43}4.7444{col 52}0.000{col 60} .025407{col 73} .061175
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03712{col 33} .00912{col 43}4.0681{col 52}0.000{col 60} .019236{col 73} .055004
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03712{col 33} .01414{col 43}2.6252{col 52}0.009{col 60} .009407{col 73} .064833
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake10Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114566{col 34}    33005{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17786{col 34}    13592{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.999{col 34}    2.999
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.999{col 34}    2.999
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    84292{col 34}    27362
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1097

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0436{col 33}  .0092{col 43}4.7373{col 52}0.000{col 60}  .02556{col 73} .061635
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03578{col 33}  .0092{col 43}3.8880{col 52}0.000{col 60} .017744{col 73} .053819
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03578{col 33} .01418{col 43}2.5241{col 52}0.012{col 60} .007997{col 73} .063567
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake20Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   115121{col 34}    32450{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17154{col 34}    13109{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.920{col 34}    2.920
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.920{col 34}    2.920
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    84749{col 34}    26905
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1098

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0263{col 33} .00941{col 43}2.7960{col 52}0.005{col 60} .007864{col 73} .044735
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0116{col 33} .00941{col 43}1.2330{col 52}0.218{col 60}-.006838{col 73} .030033
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0116{col 33} .01478{col 43}0.7847{col 52}0.433{col 60} -.01737{col 73} .040565
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake30Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   115649{col 34}    31922{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16662{col 34}    12766{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.870{col 34}    2.870
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.870{col 34}    2.870
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    85182{col 34}    26472
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1097

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01499{col 33} .00966{col 43}1.5516{col 52}0.121{col 60}-.003944{col 73}  .03392
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0081{col 33} .00966{col 43}-0.8387{col 52}0.402{col 60}-.027033{col 73} .010831
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0081{col 33} .01519{col 43}-0.5333{col 52}0.594{col 60}-.037873{col 73}  .02167
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake40Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   116196{col 34}    31375{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16381{col 34}    12471{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.843{col 34}    2.843
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.843{col 34}    2.843
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    85608{col 34}    26046
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1095{col 34}     1098

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00889{col 33}  .0097{col 43}0.9163{col 52}0.359{col 60}-.010122{col 73} .027896
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00886{col 33}  .0097{col 43}-0.9133{col 52}0.361{col 60}-.027867{col 73} .010151
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00886{col 33} .01542{col 43}-0.5744{col 52}0.566{col 60}-.039083{col 73} .021367
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake50Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   116684{col 34}    30887{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15963{col 34}    12170{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.799{col 34}    2.799
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.799{col 34}    2.799
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    85998{col 34}    25656
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1093{col 34}     1098

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00144{col 33} .01003{col 43}0.1440{col 52}0.885{col 60}-.018216{col 73} .021105
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01507{col 33} .01003{col 43}-1.5025{col 52}0.133{col 60}-.034732{col 73} .004589
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01507{col 33} .01542{col 43}-0.9772{col 52}0.328{col 60}  -.0453{col 73} .015157
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake60Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   117194{col 34}    30377{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15297{col 34}    11745{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.723{col 34}    2.723
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.723{col 34}    2.723
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    86403{col 34}    25251
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1088{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00541{col 33} .01042{col 43}-0.5188{col 52}0.604{col 60}-.025832{col 73} .015019
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02756{col 33} .01042{col 43}-2.6445{col 52}0.008{col 60}-.047985{col 73}-.007134
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02756{col 33} .01543{col 43}-1.7856{col 52}0.074{col 60} -.05781{col 73} .002691
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake70Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   117688{col 34}    29883{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15215{col 34}    11638{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.737{col 34}    2.737
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.737{col 34}    2.737
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    86808{col 34}    24846
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1088{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00351{col 33} .01063{col 43}-0.3297{col 52}0.742{col 60}-.024339{col 73} .017329
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01629{col 33} .01063{col 43}-1.5322{col 52}0.125{col 60} -.03712{col 73} .004548
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01629{col 33} .01532{col 43}-1.0633{col 52}0.288{col 60}-.046307{col 73} .013734
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake80Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   118235{col 34}    29336{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14925{col 34}    11335{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.709{col 34}    2.709
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.709{col 34}    2.709
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    87247{col 34}    24407
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1084{col 34}     1098

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0102{col 33} .01102{col 43}-0.9249{col 52}0.355{col 60}-.031799{col 73} .011409
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02187{col 33} .01102{col 43}-1.9841{col 52}0.047{col 60}-.043475{col 73}-.000266
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02187{col 33} .01571{col 43}-1.3923{col 52}0.164{col 60} -.05266{col 73} .008918
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake90Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   118721{col 34}    28850{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14716{col 34}    11136{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.698{col 34}    2.698
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.698{col 34}    2.698
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    87620{col 34}    24034
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1083{col 34}     1098

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01111{col 33} .01131{col 43}-0.9825{col 52}0.326{col 60} -.03327{col 73} .011053
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02431{col 33} .01131{col 43}-2.1500{col 52}0.032{col 60}-.046471{col 73}-.002149
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02431{col 33} .01572{col 43}-1.5460{col 52}0.122{col 60}-.055129{col 73} .006509
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake100Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   119214{col 34}    28357{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14410{col 34}    10879{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.668{col 34}    2.668
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.668{col 34}    2.668
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    88013{col 34}    23641
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1082{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00819{col 33} .01142{col 43}-0.7176{col 52}0.473{col 60}-.030565{col 73} .014182
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00977{col 33} .01142{col 43}-0.8557{col 52}0.392{col 60}-.032142{col 73} .012605
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00977{col 33} .01577{col 43}-0.6196{col 52}0.536{col 60}-.040667{col 73} .021131
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake110Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   119700{col 34}    27871{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14300{col 34}    10717{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.670{col 34}    2.670
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.670{col 34}    2.670
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    88400{col 34}    23254
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1076{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01688{col 33} .01144{col 43}-1.4752{col 52}0.140{col 60}-.039301{col 73} .005546
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0173{col 33} .01144{col 43}-1.5117{col 52}0.131{col 60}-.039719{col 73} .005128
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0173{col 33} .01628{col 43}-1.0623{col 52}0.288{col 60}-.049206{col 73} .014615
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake120Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   120154{col 34}    27417{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13660{col 34}    10345{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.595{col 34}    2.595
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.595{col 34}    2.595
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    88764{col 34}    22890
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1071{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02722{col 33} .01162{col 43}-2.3413{col 52}0.019{col 60}-.049998{col 73}-.004433
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01862{col 33} .01162{col 43}-1.6016{col 52}0.109{col 60}  -.0414{col 73} .004165
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01862{col 33} .01642{col 43}-1.1340{col 52}0.257{col 60}-.050794{col 73} .013559
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake130Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   120625{col 34}    26946{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13398{col 34}    10116{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.567{col 34}    2.567
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.567{col 34}    2.567
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    89153{col 34}    22501
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1073{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03191{col 33} .01163{col 43}-2.7440{col 52}0.006{col 60}-.054697{col 73}-.009116
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02118{col 33} .01163{col 43}-1.8211{col 52}0.069{col 60}-.043966{col 73} .001614
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02118{col 33} .01656{col 43}-1.2788{col 52}0.201{col 60}-.053631{col 73}  .01128
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake140Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   121053{col 34}    26518{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13905{col 34}    10319{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.683{col 34}    2.683
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.683{col 34}    2.683
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    89507{col 34}    22147
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1076{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01893{col 33} .01164{col 43}-1.6266{col 52}0.104{col 60}-.041739{col 73} .003879
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00093{col 33} .01164{col 43}-0.0802{col 52}0.936{col 60}-.023742{col 73} .021876
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00093{col 33} .01683{col 43}-0.0554{col 52}0.956{col 60}-.033919{col 73} .032053
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake150Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   121543{col 34}    26028{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14236{col 34}    10351{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.753{col 34}    2.753
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.753{col 34}    2.753
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    89896{col 34}    21758
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1082{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02624{col 33} .01135{col 43}-2.3113{col 52}0.021{col 60}-.048482{col 73}-.003988
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00493{col 33} .01135{col 43}-0.4341{col 52}0.664{col 60}-.027173{col 73}  .01732
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00493{col 33} .01683{col 43}-0.2928{col 52}0.770{col 60}-.037907{col 73} .028053
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake160Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122029{col 34}    25542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13792{col 34}     9984{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.696{col 34}    2.696
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.696{col 34}    2.696
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    90286{col 34}    21368
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1082{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02394{col 33} .01146{col 43}-2.0887{col 52}0.037{col 60}-.046397{col 73}-.001476
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00442{col 33} .01146{col 43}0.3853{col 52}0.700{col 60}-.018045{col 73} .026876
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00442{col 33}   .017{col 43}0.2598{col 52}0.795{col 60}-.028899{col 73}  .03773
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake170Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122463{col 34}    25108{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13252{col 34}     9677{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.637{col 34}    2.637
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.637{col 34}    2.637
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    90634{col 34}    21020
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1083{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02648{col 33} .01148{col 43}-2.3062{col 52}0.021{col 60}-.048989{col 73}-.003976
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0012{col 33} .01148{col 43}-0.1049{col 52}0.916{col 60}-.023711{col 73} .021302
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0012{col 33} .01743{col 43}-0.0691{col 52}0.945{col 60} -.03536{col 73} .032951
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake180Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122907{col 34}    24664{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13032{col 34}     9465{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.622{col 34}    2.622
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.622{col 34}    2.622
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    90994{col 34}    20660
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1086{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03019{col 33} .01151{col 43}-2.6236{col 52}0.009{col 60}-.052744{col 73}-.007636
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01179{col 33} .01151{col 43}-1.0242{col 52}0.306{col 60}-.034339{col 73} .010769
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01179{col 33} .01741{col 43}-0.6769{col 52}0.498{col 60} -.04591{col 73} .022339
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake190Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   123367{col 34}    24204{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12874{col 34}     9287{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.618{col 34}    2.618
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.618{col 34}    2.618
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    91367{col 34}    20287
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1088{col 34}     1098

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0261{col 33} .01168{col 43}-2.2347{col 52}0.025{col 60}-.048989{col 73}-.003209
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01733{col 33} .01168{col 43}-1.4839{col 52}0.138{col 60} -.04022{col 73}  .00556
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01733{col 33} .01758{col 43}-0.9859{col 52}0.324{col 60}-.051782{col 73} .017122
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake200Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   123805{col 34}    23766{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13355{col 34}     9413{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.725{col 34}    2.725
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.725{col 34}    2.725
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    91716{col 34}    19938
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1089{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01276{col 33} .01175{col 43}-1.0858{col 52}0.278{col 60}-.035801{col 73} .010275
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00335{col 33} .01175{col 43}-0.2852{col 52}0.775{col 60}-.026391{col 73} .019685
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00335{col 33} .01734{col 43}-0.1934{col 52}0.847{col 60}-.037338{col 73} .030632
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake210Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   124258{col 34}    23313{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13614{col 34}     9377{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.792{col 34}    2.792
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.792{col 34}    2.792
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    92074{col 34}    19580
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1093{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01327{col 33} .01205{col 43}-1.1015{col 52}0.271{col 60}-.036894{col 73} .010345
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00735{col 33} .01205{col 43}0.6098{col 52}0.542{col 60}-.016271{col 73} .030969
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00735{col 33} .01749{col 43}0.4201{col 52}0.674{col 60}-.026938{col 73} .041636
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake220Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   124667{col 34}    22904{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13478{col 34}     9214{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.792{col 34}    2.792
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.792{col 34}    2.792
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    92395{col 34}    19259
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1095{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01631{col 33} .01219{col 43}-1.3385{col 52}0.181{col 60}-.040194{col 73} .007573
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01071{col 33} .01219{col 43}0.8791{col 52}0.379{col 60}-.013171{col 73} .034596
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01071{col 33} .01748{col 43}0.6130{col 52}0.540{col 60} -.02354{col 73} .044965
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake230Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125083{col 34}    22488{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13862{col 34}     9296{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.886{col 34}    2.886
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.886{col 34}    2.886
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    92722{col 34}    18932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1095{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00386{col 33} .01221{col 43}-0.3161{col 52}0.752{col 60}-.027797{col 73} .020075
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03448{col 33} .01221{col 43}2.8232{col 52}0.005{col 60} .010542{col 73} .058414
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03448{col 33} .01708{col 43}2.0184{col 52}0.044{col 60} .000998{col 73} .067957
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake240Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125474{col 34}    22097{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14386{col 34}     9422{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.011{col 34}    3.011
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.011{col 34}    3.011
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93032{col 34}    18622
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1100

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00199{col 33} .01206{col 43}0.1648{col 52}0.869{col 60}-.021647{col 73} .025623
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04093{col 33} .01206{col 43}3.3940{col 52}0.001{col 60} .017293{col 73} .064563
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04093{col 33} .01707{col 43}2.3982{col 52}0.016{col 60} .007479{col 73} .074378
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake250Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125890{col 34}    21681{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14390{col 34}     9306{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.048{col 34}    3.048
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.048{col 34}    3.048
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93347{col 34}    18307
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01188{col 33} .01204{col 43}0.9871{col 52}0.324{col 60}-.011712{col 73}  .03548
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04761{col 33} .01204{col 43}3.9548{col 52}0.000{col 60} .024016{col 73} .071208
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04761{col 33} .01735{col 43}2.7435{col 52}0.006{col 60} .013598{col 73} .081626
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake260Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   126285{col 34}    21286{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14272{col 34}     9172{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.054{col 34}    3.054
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.054{col 34}    3.054
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93658{col 34}    17996
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01311{col 33} .01208{col 43}1.0853{col 52}0.278{col 60}-.010565{col 73} .036784
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03284{col 33} .01208{col 43}2.7186{col 52}0.007{col 60} .009164{col 73} .056513
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03284{col 33}  .0175{col 43}1.8760{col 52}0.061{col 60}-.001469{col 73} .067146
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake270Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   126643{col 34}    20928{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14021{col 34}     9016{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.049{col 34}    3.049
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.049{col 34}    3.049
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93937{col 34}    17717
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01364{col 33} .01218{col 43}1.1197{col 52}0.263{col 60}-.010233{col 73} .037509
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01958{col 33} .01218{col 43}1.6073{col 52}0.108{col 60}-.004296{col 73} .043447
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01958{col 33} .01773{col 43}1.1039{col 52}0.270{col 60} -.01518{col 73} .054331
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake280Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   127014{col 34}    20557{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14133{col 34}     8995{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.105{col 34}    3.105
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.105{col 34}    3.105
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    94240{col 34}    17414
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01524{col 33} .01221{col 43}1.2489{col 52}0.212{col 60}-.008679{col 73} .039167
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01471{col 33} .01221{col 43}1.2051{col 52}0.228{col 60}-.009213{col 73} .038632
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01471{col 33}  .0179{col 43}0.8219{col 52}0.411{col 60}-.020368{col 73} .049787
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake290Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   127399{col 34}    20172{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13648{col 34}     8621{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.011{col 34}    3.011
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.011{col 34}    3.011
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    94552{col 34}    17102
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1098

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00664{col 33} .01253{col 43}0.5298{col 52}0.596{col 60}-.017915{col 73} .031188
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01242{col 33} .01253{col 43}-0.9919{col 52}0.321{col 60}-.036976{col 73} .012127
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01242{col 33} .01846{col 43}-0.6730{col 52}0.501{col 60} -.04861{col 73} .023761
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake300Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Colombia.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     4848{col 34}     7785{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      419{col 34}      859{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.094{col 34}    1.094
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.094{col 34}    1.094
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       78{col 34}       84

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01992{col 33}   .018{col 43}1.1062{col 52}0.269{col 60}-.015371{col 73} .055204
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05396{col 33}   .018{col 43}2.9969{col 52}0.003{col 60}  .01867{col 73} .089245
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05396{col 33}  .0263{col 43}2.0513{col 52}0.040{col 60} .002402{col 73} .105513
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-300Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     4901{col 34}     7732{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      518{col 34}     1239{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.336{col 34}    1.336
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.336{col 34}    1.336
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       81{col 34}       86

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00173{col 33} .01798{col 43}0.0960{col 52}0.924{col 60}-.033507{col 73} .036957
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00067{col 33} .01798{col 43}0.0371{col 52}0.970{col 60}-.034564{col 73} .035899
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00067{col 33} .02708{col 43}0.0247{col 52}0.980{col 60}  -.0524{col 73} .053735
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-290Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     4953{col 34}     7680{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      513{col 34}     1205{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.250{col 34}    1.250
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.250{col 34}    1.250
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       78{col 34}       87

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00802{col 33} .01761{col 43}-0.4555{col 52}0.649{col 60}-.042548{col 73} .026501
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01043{col 33} .01761{col 43}-0.5919{col 52}0.554{col 60} -.04495{col 73} .024099
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01043{col 33} .02995{col 43}-0.3481{col 52}0.728{col 60}-.069126{col 73} .048276
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-280Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5019{col 34}     7614{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      596{col 34}     1530{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.416{col 34}    1.416
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.416{col 34}    1.416
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       82{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00978{col 33} .01661{col 43}-0.5890{col 52}0.556{col 60}-.042338{col 73}  .02277
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01303{col 33} .01661{col 43}-0.7847{col 52}0.433{col 60}-.045587{col 73} .019521
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01303{col 33} .02806{col 43}-0.4645{col 52}0.642{col 60}-.068025{col 73} .041958
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-270Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5088{col 34}     7545{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      604{col 34}     1493{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.333{col 34}    1.333
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.333{col 34}    1.333
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       82{col 34}       87

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00429{col 33} .01639{col 43}-0.2621{col 52}0.793{col 60}-.036409{col 73} .027821
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00929{col 33} .01639{col 43}0.5667{col 52}0.571{col 60} -.02283{col 73} .041401
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00929{col 33} .02506{col 43}0.3706{col 52}0.711{col 60}-.039824{col 73} .058395
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-260Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5155{col 34}     7478{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      643{col 34}     1591{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.343{col 34}    1.343
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.343{col 34}    1.343
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       82{col 34}       87

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00625{col 33} .01605{col 43}-0.3894{col 52}0.697{col 60}-.037703{col 73} .025206
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00653{col 33} .01605{col 43}0.4067{col 52}0.684{col 60}-.024928{col 73} .037981
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00653{col 33} .02452{col 43}0.2662{col 52}0.790{col 60}-.041532{col 73} .054585
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-250Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5219{col 34}     7414{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      740{col 34}     2107{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.544{col 34}    1.544
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.544{col 34}    1.544
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       87{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00094{col 33} .01445{col 43}0.0650{col 52}0.948{col 60}-.027385{col 73} .029266
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01581{col 33} .01445{col 43}1.0942{col 52}0.274{col 60}-.012512{col 73} .044139
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01581{col 33} .01973{col 43}0.8016{col 52}0.423{col 60}-.022849{col 73} .054476
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-240Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5301{col 34}     7332{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      912{col 34}     3009{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.924{col 34}    1.924
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.924{col 34}    1.924
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01478{col 33} .01443{col 43}-1.0245{col 52}0.306{col 60}-.043063{col 73} .013497
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01897{col 33} .01443{col 43}-1.3147{col 52}0.189{col 60} -.04725{col 73} .009311
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01897{col 33} .02111{col 43}-0.8984{col 52}0.369{col 60}-.060352{col 73} .022413
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-230Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5389{col 34}     7244{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      944{col 34}     2923{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.825{col 34}    1.825
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.825{col 34}    1.825
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00309{col 33} .01353{col 43}-0.2285{col 52}0.819{col 60}-.029599{col 73} .023418
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01078{col 33} .01353{col 43}0.7971{col 52}0.425{col 60}-.015727{col 73}  .03729
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01078{col 33} .01842{col 43}0.5854{col 52}0.558{col 60}-.025316{col 73} .046879
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-220Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5488{col 34}     7145{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1058{col 34}     3309{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.988{col 34}    1.988
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.988{col 34}    1.988
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02792{col 33} .01382{col 43}-2.0196{col 52}0.043{col 60}-.055017{col 73}-.000825
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01761{col 33} .01382{col 43}1.2741{col 52}0.203{col 60}-.009482{col 73}  .04471
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01761{col 33} .01871{col 43}0.9412{col 52}0.347{col 60}-.019067{col 73} .054295
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-210Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5594{col 34}     7039{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1187{col 34}     3595{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.154{col 34}    2.154
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.154{col 34}    2.154
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05397{col 33} .01295{col 43}-4.1689{col 52}0.000{col 60}-.079342{col 73}-.028596
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04633{col 33} .01295{col 43}3.5789{col 52}0.000{col 60} .020958{col 73} .071703
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04633{col 33} .02032{col 43}2.2796{col 52}0.023{col 60} .006496{col 73} .086166
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-200Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5717{col 34}     6916{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1206{col 34}     3331{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.946{col 34}    1.946
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.946{col 34}    1.946
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04712{col 33}  .0129{col 43}-3.6514{col 52}0.000{col 60}-.072412{col 73}-.021827
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02973{col 33}  .0129{col 43}2.3037{col 52}0.021{col 60} .004436{col 73}  .05502
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02973{col 33} .01996{col 43}1.4892{col 52}0.136{col 60}-.009399{col 73} .068854
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-190Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5841{col 34}     6792{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1251{col 34}     3150{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.815{col 34}    1.815
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.815{col 34}    1.815
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0327{col 33} .01281{col 43}-2.5532{col 52}0.011{col 60}-.057801{col 73}-.007598
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03546{col 33} .01281{col 43}2.7689{col 52}0.006{col 60}  .01036{col 73} .060563
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03546{col 33} .01862{col 43}1.9040{col 52}0.057{col 60}-.001042{col 73} .071966
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-180Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5971{col 34}     6662{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1236{col 34}     2730{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.532{col 34}    1.532
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.532{col 34}    1.532
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02027{col 33}   .013{col 43}-1.5587{col 52}0.119{col 60}-.045755{col 73} .005218
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01584{col 33}   .013{col 43}1.2178{col 52}0.223{col 60}-.009651{col 73} .041323
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01584{col 33} .01997{col 43}0.7930{col 52}0.428{col 60}-.023305{col 73} .054977
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-170Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6091{col 34}     6542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1286{col 34}     2688{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.479{col 34}    1.479
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.479{col 34}    1.479
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01516{col 33} .01345{col 43}-1.1269{col 52}0.260{col 60}-.041524{col 73} .011206
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03257{col 33} .01345{col 43}2.4216{col 52}0.015{col 60}  .00621{col 73}  .05894
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03257{col 33} .01923{col 43}1.6938{col 52}0.090{col 60}-.005119{col 73} .070268
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-160Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6214{col 34}     6419{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1261{col 34}     2434{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.300{col 34}    1.300
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.300{col 34}    1.300
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       87{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0184{col 33} .01441{col 43}-1.2767{col 52}0.202{col 60}-.046654{col 73} .009849
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00722{col 33} .01441{col 43}0.5006{col 52}0.617{col 60}-.021036{col 73} .035467
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00722{col 33}  .0225{col 43}0.3206{col 52}0.748{col 60} -.03689{col 73}  .05132
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-150Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6374{col 34}     6259{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1311{col 34}     2326{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.231{col 34}    1.231
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.231{col 34}    1.231
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       87{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01747{col 33} .01381{col 43}-1.2649{col 52}0.206{col 60}-.044527{col 73} .009597
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00885{col 33} .01381{col 43}0.6407{col 52}0.522{col 60}-.018215{col 73} .035908
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00885{col 33} .01851{col 43}0.4779{col 52}0.633{col 60}-.027436{col 73} .045129
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-140Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6527{col 34}     6106{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1420{col 34}     2398{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.263{col 34}    1.263
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.263{col 34}    1.263
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       87{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0318{col 33} .01495{col 43}-2.1276{col 52}0.033{col 60}-.061101{col 73}-.002506
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01809{col 33} .01495{col 43}1.2102{col 52}0.226{col 60}-.011208{col 73} .047387
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01809{col 33}  .0194{col 43}0.9325{col 52}0.351{col 60}-.019931{col 73}  .05611
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-130Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6681{col 34}     5952{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1484{col 34}     2332{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.231{col 34}    1.231
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.231{col 34}    1.231
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       87{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05093{col 33} .01417{col 43}-3.5947{col 52}0.000{col 60}-.078706{col 73}-.023163
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00217{col 33} .01417{col 43}-0.1529{col 52}0.878{col 60}-.029937{col 73} .025605
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00217{col 33} .01983{col 43}-0.1092{col 52}0.913{col 60} -.04104{col 73} .036708
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-120Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6860{col 34}     5773{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1564{col 34}     2262{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.203{col 34}    1.203
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.203{col 34}    1.203
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       87{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05847{col 33} .01446{col 43}-4.0447{col 52}0.000{col 60}-.086801{col 73}-.030136
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03018{col 33} .01446{col 43}2.0875{col 52}0.037{col 60} .001844{col 73} .058509
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03018{col 33}  .0188{col 43}1.6054{col 52}0.108{col 60}-.006666{col 73} .067019
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-110Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7040{col 34}     5593{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1631{col 34}     2173{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.175{col 34}    1.175
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.175{col 34}    1.175
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       87{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06385{col 33} .01528{col 43}-4.1794{col 52}0.000{col 60}-.093795{col 73}-.033908
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01681{col 33} .01528{col 43}1.1003{col 52}0.271{col 60}-.013134{col 73} .046753
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01681{col 33} .01931{col 43}0.8706{col 52}0.384{col 60}-.021033{col 73} .054652
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-100Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7234{col 34}     5399{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1749{col 34}     2156{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.205{col 34}    1.205
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.205{col 34}    1.205
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07395{col 33} .01523{col 43}-4.8549{col 52}0.000{col 60}-.103797{col 73}-.044093
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02994{col 33} .01523{col 43}1.9657{col 52}0.049{col 60} .000087{col 73} .059791
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02994{col 33} .02165{col 43}1.3828{col 52}0.167{col 60}-.012495{col 73} .072374
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-90Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7432{col 34}     5201{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1859{col 34}     2103{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.213{col 34}    1.213
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.213{col 34}    1.213
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07818{col 33} .01566{col 43}-4.9914{col 52}0.000{col 60}-.108876{col 73} -.04748
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01332{col 33} .01566{col 43}-0.8503{col 52}0.395{col 60}-.044016{col 73} .017381
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01332{col 33} .02107{col 43}-0.6320{col 52}0.527{col 60}-.054617{col 73} .027982
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-80Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7667{col 34}     4966{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2056{col 34}     2033{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.288{col 34}    1.288
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.288{col 34}    1.288
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05828{col 33} .01689{col 43}-3.4499{col 52}0.001{col 60}-.091394{col 73}-.025171
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03247{col 33} .01689{col 43}-1.9222{col 52}0.055{col 60}-.065585{col 73} .000638
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03247{col 33} .02343{col 43}-1.3861{col 52}0.166{col 60}-.078392{col 73} .013445
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-70Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7883{col 34}     4750{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2252{col 34}     1998{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.371{col 34}    1.371
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.371{col 34}    1.371
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02444{col 33} .01821{col 43}-1.3425{col 52}0.179{col 60}-.060125{col 73} .011242
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04884{col 33} .01821{col 43}-2.6828{col 52}0.007{col 60}-.084527{col 73} -.01316
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04884{col 33} .02382{col 43}-2.0503{col 52}0.040{col 60}-.095536{col 73}-.002151
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-60Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8073{col 34}     4560{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2414{col 34}     1946{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.451{col 34}    1.451
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.451{col 34}    1.451
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01055{col 33} .02159{col 43}0.4885{col 52}0.625{col 60}-.031773{col 73} .052867
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.08007{col 33} .02159{col 43}-3.7083{col 52}0.000{col 60} -.12239{col 73} -.03775
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.08007{col 33} .02349{col 43}-3.4083{col 52}0.001{col 60}-.126115{col 73}-.034025
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-50Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8256{col 34}     4377{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2748{col 34}     2013{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.683{col 34}    1.683
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.683{col 34}    1.683
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0642{col 33} .02026{col 43}3.1685{col 52}0.002{col 60} .024487{col 73} .103915
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01585{col 33} .02026{col 43}-0.7823{col 52}0.434{col 60}-.055565{col 73} .023862
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01585{col 33} .02772{col 43}-0.5718{col 52}0.567{col 60}-.070183{col 73} .038479
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-40Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8467{col 34}     4166{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3141{col 34}     2016{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.974{col 34}    1.974
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.974{col 34}    1.974
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .13533{col 33} .02009{col 43}6.7364{col 52}0.000{col 60} .095953{col 73}   .1747
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01013{col 33} .02009{col 43}0.5044{col 52}0.614{col 60}-.029241{col 73} .049506
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01013{col 33} .02849{col 43}0.3556{col 52}0.722{col 60}-.045715{col 73} .065981
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-30Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8650{col 34}     3983{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3727{col 34}     2193{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.655{col 34}    2.655
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.655{col 34}    2.655
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .21656{col 33} .02018{col 43}10.7338{col 52}0.000{col 60}  .17702{col 73} .256108
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .10753{col 33} .02018{col 43}5.3298{col 52}0.000{col 60}  .06799{col 73} .147078
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .10753{col 33} .02824{col 43}3.8073{col 52}0.000{col 60} .052176{col 73} .162892
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-20Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8814{col 34}     3819{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3976{col 34}     2136{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.916{col 34}    2.916
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.916{col 34}    2.916
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .2541{col 33} .02085{col 43}12.1868{col 52}0.000{col 60} .213232{col 73} .294963
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .16043{col 33} .02085{col 43}7.6942{col 52}0.000{col 60} .119561{col 73} .201292
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .16043{col 33} .02888{col 43}5.5551{col 52}0.000{col 60} .103824{col 73} .217028
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-10Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4377{col 34}     2153{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.578{col 34}    3.578
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.578{col 34}    3.578
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .28811{col 33} .01942{col 43}14.8353{col 52}0.000{col 60} .250042{col 73} .326168
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .1984{col 33} .01942{col 43}10.2162{col 52}0.000{col 60} .160338{col 73} .236464
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .1984{col 33} .02743{col 43}7.2327{col 52}0.000{col 60} .144637{col 73} .252165
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake0Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9116{col 34}     3517{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5090{col 34}     2357{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.629{col 34}    5.629
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.629{col 34}    5.629
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .33098{col 33} .01995{col 43}16.5941{col 52}0.000{col 60} .291886{col 73} .370071
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .22814{col 33} .01995{col 43}11.4381{col 52}0.000{col 60} .189046{col 73} .267231
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .22814{col 33} .02752{col 43}8.2911{col 52}0.000{col 60} .174208{col 73} .282069
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake10Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9253{col 34}     3380{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4897{col 34}     2069{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.551{col 34}    4.551
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.551{col 34}    4.551
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .30027{col 33} .02269{col 43}13.2317{col 52}0.000{col 60} .255796{col 73} .344753
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .18791{col 33} .02269{col 43}8.2803{col 52}0.000{col 60}  .14343{col 73} .232387
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .18791{col 33} .03287{col 43}5.7169{col 52}0.000{col 60} .123487{col 73}  .25233
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake20Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9386{col 34}     3247{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4562{col 34}     1763{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.346{col 34}    3.346
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.346{col 34}    3.346
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .2429{col 33} .02323{col 43}10.4562{col 52}0.000{col 60} .197372{col 73} .288434
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08682{col 33} .02323{col 43}3.7373{col 52}0.000{col 60} .041287{col 73}  .13235
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08682{col 33} .03575{col 43}2.4285{col 52}0.015{col 60} .016751{col 73} .156886
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake30Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9525{col 34}     3108{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4487{col 34}     1582{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.071{col 34}    3.071
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.071{col 34}    3.071
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       91

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19432{col 33} .02676{col 43}7.2610{col 52}0.000{col 60} .141868{col 73} .246775
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01372{col 33} .02676{col 43}0.5126{col 52}0.608{col 60}-.038734{col 73} .066173
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01372{col 33} .04029{col 43}0.3405{col 52}0.733{col 60}-.065241{col 73}  .09268
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake40Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9621{col 34}     3012{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4355{col 34}     1447{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.836{col 34}    2.836
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.836{col 34}    2.836
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       91

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .16105{col 33} .02759{col 43}5.8378{col 52}0.000{col 60} .106981{col 73} .215124
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01611{col 33} .02759{col 43}-0.5838{col 52}0.559{col 60}-.070177{col 73} .037966
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01611{col 33} .04046{col 43}-0.3981{col 52}0.691{col 60}-.095402{col 73}  .06319
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake50Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9719{col 34}     2914{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4230{col 34}     1342{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.699{col 34}    2.699
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.699{col 34}    2.699
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       91

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .1247{col 33} .02877{col 43}4.3348{col 52}0.000{col 60} .068319{col 73} .181088
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05053{col 33} .02877{col 43}-1.7564{col 52}0.079{col 60}-.106914{col 73} .005855
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05053{col 33} .04458{col 43}-1.1334{col 52}0.257{col 60}-.137911{col 73} .036852
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake60Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9809{col 34}     2824{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4238{col 34}     1283{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.715{col 34}    2.715
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.715{col 34}    2.715
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       91

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11809{col 33} .03069{col 43}3.8484{col 52}0.000{col 60} .057948{col 73} .178232
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06369{col 33} .03069{col 43}-2.0755{col 52}0.038{col 60} -.12383{col 73}-.003545
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06369{col 33} .04721{col 43}-1.3489{col 52}0.177{col 60}-.156224{col 73} .028848
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake70Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9914{col 34}     2719{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4149{col 34}     1190{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.654{col 34}    2.654
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.654{col 34}    2.654
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       91

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .08166{col 33}  .0327{col 43}2.4971{col 52}0.013{col 60} .017564{col 73} .145749
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.09352{col 33}  .0327{col 43}-2.8598{col 52}0.004{col 60}-.157609{col 73}-.029424
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.09352{col 33} .05125{col 43}-1.8246{col 52}0.068{col 60}-.193969{col 73} .006936
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake80Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9983{col 34}     2650{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4019{col 34}     1133{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.604{col 34}    2.604
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.604{col 34}    2.604
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .06844{col 33} .03345{col 43}2.0460{col 52}0.041{col 60} .002879{col 73} .134003
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06448{col 33} .03345{col 43}-1.9275{col 52}0.054{col 60}-.130039{col 73} .001085
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06448{col 33} .04976{col 43}-1.2958{col 52}0.195{col 60}-.162001{col 73} .033048
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake90Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10055{col 34}     2578{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3720{col 34}     1040{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.422{col 34}    2.422
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.422{col 34}    2.422
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       91

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00248{col 33} .03435{col 43}0.0722{col 52}0.942{col 60}-.064851{col 73}  .06981
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.10433{col 33} .03435{col 43}-3.0371{col 52}0.002{col 60}-.171663{col 73}-.037003
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.10433{col 33} .05168{col 43}-2.0190{col 52}0.043{col 60}-.205616{col 73} -.00305
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake100Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10141{col 34}     2492{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3671{col 34}      980{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.434{col 34}    2.434
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.434{col 34}    2.434
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01678{col 33} .03744{col 43}-0.4482{col 52}0.654{col 60}-.090172{col 73} .056607
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.08991{col 33} .03744{col 43}-2.4011{col 52}0.016{col 60}-.163297{col 73}-.016518
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.08991{col 33} .05414{col 43}-1.6606{col 52}0.097{col 60}-.196021{col 73} .016206
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake110Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10215{col 34}     2418{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3415{col 34}      906{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.331{col 34}    2.331
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.331{col 34}    2.331
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       91

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09337{col 33} .03836{col 43}-2.4340{col 52}0.015{col 60}-.168555{col 73}-.018185
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.14582{col 33} .03836{col 43}-3.8012{col 52}0.000{col 60}-.221002{col 73}-.070632
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.14582{col 33} .05255{col 43}-2.7750{col 52}0.006{col 60}-.248807{col 73}-.042827
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake120Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10279{col 34}     2354{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3166{col 34}      850{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.264{col 34}    2.264
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.264{col 34}    2.264
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       91

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.13227{col 33} .04097{col 43}-3.2285{col 52}0.001{col 60}-.212561{col 73}-.051971
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.15743{col 33} .04097{col 43}-3.8428{col 52}0.000{col 60}-.237726{col 73}-.077136
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.15743{col 33} .05606{col 43}-2.8083{col 52}0.005{col 60}-.267307{col 73}-.047556
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake130Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10337{col 34}     2296{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3131{col 34}      822{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.314{col 34}    2.314
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.314{col 34}    2.314
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       91

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.13482{col 33}  .0424{col 43}-3.1796{col 52}0.001{col 60}-.217924{col 73}-.051715
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.14635{col 33}  .0424{col 43}-3.4515{col 52}0.001{col 60}-.229452{col 73}-.063243
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.14635{col 33}  .0594{col 43}-2.4636{col 52}0.014{col 60}-.262778{col 73}-.029917
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake140Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10380{col 34}     2253{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2865{col 34}      790{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.266{col 34}    2.266
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.266{col 34}    2.266
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       91

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.1682{col 33} .04441{col 43}-3.7874{col 52}0.000{col 60} -.25525{col 73} -.08116
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.1217{col 33} .04441{col 43}-2.7402{col 52}0.006{col 60}-.208743{col 73}-.034653
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.1217{col 33} .05857{col 43}-2.0780{col 52}0.038{col 60}-.236484{col 73}-.006913
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake150Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10449{col 34}     2184{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2927{col 34}      761{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.362{col 34}    2.362
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.362{col 34}    2.362
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       91

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.13457{col 33} .04481{col 43}-3.0031{col 52}0.003{col 60}-.222388{col 73}-.046743
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01296{col 33} .04481{col 43}-0.2891{col 52}0.772{col 60}-.100779{col 73} .074867
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01296{col 33} .06184{col 43}-0.2095{col 52}0.834{col 60}-.134165{col 73} .108252
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake160Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10495{col 34}     2138{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2838{col 34}      733{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.405{col 34}    2.405
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.405{col 34}    2.405
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       91

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.12997{col 33} .04446{col 43}-2.9235{col 52}0.003{col 60}-.217104{col 73}-.042835
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05443{col 33} .04446{col 43}1.2244{col 52}0.221{col 60}  -.0327{col 73}  .14157
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05443{col 33} .06192{col 43}0.8791{col 52}0.379{col 60}-.066933{col 73} .175803
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake170Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10547{col 34}     2086{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2490{col 34}      683{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.311{col 34}    2.311
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.311{col 34}    2.311
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       91

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.14102{col 33} .04556{col 43}-3.0955{col 52}0.002{col 60}-.230316{col 73}-.051732
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .07661{col 33} .04556{col 43}1.6815{col 52}0.093{col 60}-.012685{col 73} .165899
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .07661{col 33} .06196{col 43}1.2363{col 52}0.216{col 60}-.044837{col 73}  .19805
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake180Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10599{col 34}     2034{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2519{col 34}      656{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.397{col 34}    2.397
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.397{col 34}    2.397
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.14773{col 33} .04685{col 43}-3.1534{col 52}0.002{col 60}-.239543{col 73}-.055907
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04192{col 33} .04685{col 43}0.8948{col 52}0.371{col 60}-.049901{col 73} .133735
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04192{col 33} .06023{col 43}0.6960{col 52}0.486{col 60}-.076127{col 73}  .15996
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake190Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10659{col 34}     1974{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2545{col 34}      624{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.477{col 34}    2.477
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.477{col 34}    2.477
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.14048{col 33} .05107{col 43}-2.7507{col 52}0.006{col 60}-.240579{col 73}-.040385
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00897{col 33} .05107{col 43}-0.1757{col 52}0.861{col 60}-.109069{col 73} .091125
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00897{col 33} .06758{col 43}-0.1327{col 52}0.894{col 60}-.141435{col 73} .123492
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake200Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10695{col 34}     1938{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2354{col 34}      600{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.460{col 34}    2.460
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.460{col 34}    2.460
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.1373{col 33} .05104{col 43}-2.6903{col 52}0.007{col 60}-.237327{col 73}-.037272
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0206{col 33} .05104{col 43}0.4036{col 52}0.687{col 60}-.079429{col 73} .120626
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0206{col 33} .06937{col 43}0.2969{col 52}0.767{col 60}-.115359{col 73} .156555
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake210Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10739{col 34}     1894{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2306{col 34}      580{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.519{col 34}    2.519
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.519{col 34}    2.519
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09944{col 33} .05002{col 43}-1.9881{col 52}0.047{col 60}-.197482{col 73}-.001406
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .07628{col 33} .05002{col 43}1.5250{col 52}0.127{col 60}-.021759{col 73} .174317
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .07628{col 33} .07296{col 43}1.0455{col 52}0.296{col 60}-.066719{col 73} .219277
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake220Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10789{col 34}     1844{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2291{col 34}      563{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.587{col 34}    2.587
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.587{col 34}    2.587
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       91

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.08803{col 33} .04833{col 43}-1.8214{col 52}0.069{col 60}-.182761{col 73} .006699
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08975{col 33} .04833{col 43}1.8569{col 52}0.063{col 60}-.004982{col 73} .184478
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08975{col 33} .07437{col 43}1.2068{col 52}0.227{col 60}-.056008{col 73} .235503
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake230Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10821{col 34}     1812{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2272{col 34}      559{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.655{col 34}    2.655
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.655{col 34}    2.655
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       91

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04642{col 33}  .0492{col 43}-0.9435{col 52}0.345{col 60}-.142848{col 73} .050011
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .15296{col 33}  .0492{col 43}3.1090{col 52}0.002{col 60} .056534{col 73} .249393
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .15296{col 33} .07253{col 43}2.1090{col 52}0.035{col 60} .010812{col 73} .295116
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake240Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10862{col 34}     1771{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2250{col 34}      536{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.718{col 34}    2.718
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.718{col 34}    2.718
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       91

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05452{col 33} .05155{col 43}-1.0576{col 52}0.290{col 60}-.155557{col 73} .046519
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0989{col 33} .05155{col 43}1.9185{col 52}0.055{col 60}-.002136{col 73} .199941
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0989{col 33} .07751{col 43}1.2761{col 52}0.202{col 60}-.053005{col 73}  .25081
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake250Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10893{col 34}     1740{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2081{col 34}      521{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.701{col 34}    2.701
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.701{col 34}    2.701
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       91

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02431{col 33} .05385{col 43}-0.4515{col 52}0.652{col 60}-.129858{col 73} .081229
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05733{col 33} .05385{col 43}1.0646{col 52}0.287{col 60}-.048217{col 73}  .16287
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05733{col 33}  .0784{col 43}0.7312{col 52}0.465{col 60}-.096335{col 73} .210988
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake260Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10929{col 34}     1704{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2081{col 34}      513{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.777{col 34}    2.777
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.777{col 34}    2.777
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01326{col 33} .05377{col 43}-0.2465{col 52}0.805{col 60}-.118637{col 73} .092125
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08979{col 33} .05377{col 43}1.6700{col 52}0.095{col 60}-.015593{col 73}  .19517
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08979{col 33} .08318{col 43}1.0794{col 52}0.280{col 60}-.073241{col 73} .252818
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake270Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10946{col 34}     1687{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1757{col 34}      488{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.647{col 34}    2.647
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.647{col 34}    2.647
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0282{col 33} .05246{col 43}0.5374{col 52}0.591{col 60}-.074628{col 73} .131018
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04352{col 33} .05246{col 43}0.8296{col 52}0.407{col 60}-.059298{col 73} .146348
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04352{col 33} .08126{col 43}0.5356{col 52}0.592{col 60}-.115739{col 73} .202788
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake280Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10964{col 34}     1669{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1633{col 34}      480{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.638{col 34}    2.638
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.638{col 34}    2.638
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0006{col 33}  .0546{col 43}-0.0110{col 52}0.991{col 60} -.10762{col 73} .106415
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03015{col 33}  .0546{col 43}0.5521{col 52}0.581{col 60}-.076871{col 73} .137164
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03015{col 33} .08444{col 43}0.3570{col 52}0.721{col 60}-.135358{col 73}  .19565
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake290Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10992{col 34}     1641{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1606{col 34}      479{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.700{col 34}    2.700
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.700{col 34}    2.700
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00709{col 33} .05679{col 43}0.1248{col 52}0.901{col 60}-.104225{col 73} .118396
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01864{col 33} .05679{col 43}0.3283{col 52}0.743{col 60}-.092667{col 73} .129954
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01864{col 33}  .0847{col 43}0.2201{col 52}0.826{col 60}-.147356{col 73} .184643
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake300Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Denmark.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    42493{col 34}   112050{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5888{col 34}     7869{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.531{col 34}    0.531
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.531{col 34}    0.531
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    21313{col 34}    66562
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      419{col 34}      433

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0005{col 33} .00649{col 43}0.0777{col 52}0.938{col 60}-.012208{col 73} .013215
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00216{col 33} .00649{col 43}0.3334{col 52}0.739{col 60}-.010549{col 73} .014874
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00216{col 33} .00901{col 43}0.2401{col 52}0.810{col 60}-.015493{col 73} .019818
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-300Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    43806{col 34}   110737{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6553{col 34}     9008{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.569{col 34}    0.569
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.569{col 34}    0.569
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    21893{col 34}    65982
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      420{col 34}      437

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00511{col 33} .00613{col 43}0.8346{col 52}0.404{col 60}-.006895{col 73} .017122
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00521{col 33} .00613{col 43}0.8511{col 52}0.395{col 60}-.006794{col 73} .017224
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00521{col 33} .00887{col 43}0.5877{col 52}0.557{col 60}-.012178{col 73} .022608
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-290Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    45203{col 34}   109340{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8239{col 34}    12268{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.697{col 34}    0.697
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.697{col 34}    0.697
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    22533{col 34}    65342
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      426{col 34}      439

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0021{col 33} .00531{col 43}-0.3956{col 52}0.692{col 60}-.012516{col 73} .008312
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00059{col 33} .00531{col 43}0.1113{col 52}0.911{col 60}-.009823{col 73} .011006
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00059{col 33} .00772{col 43}0.0767{col 52}0.939{col 60}-.014532{col 73} .015715
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-280Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    46706{col 34}   107837{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8926{col 34}    13616{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.720{col 34}    0.720
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.720{col 34}    0.720
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    23245{col 34}    64630
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      432{col 34}      438

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00075{col 33} .00498{col 43}-0.1502{col 52}0.881{col 60} -.01051{col 73} .009015
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0053{col 33} .00498{col 43}1.0643{col 52}0.287{col 60}-.004461{col 73} .015064
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0053{col 33} .00743{col 43}0.7138{col 52}0.475{col 60}-.009255{col 73} .019858
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-270Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    48263{col 34}   106280{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8298{col 34}    12168{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.624{col 34}    0.624
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.624{col 34}    0.624
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    23979{col 34}    63896
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      430{col 34}      437

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0006{col 33} .00495{col 43}-0.1208{col 52}0.904{col 60}-.010308{col 73} .009111
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00053{col 33} .00495{col 43}0.1064{col 52}0.915{col 60}-.009182{col 73} .010237
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00053{col 33} .00767{col 43}0.0687{col 52}0.945{col 60} -.01451{col 73} .015564
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-260Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    49858{col 34}   104685{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8164{col 34}    11604{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.567{col 34}    0.567
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.567{col 34}    0.567
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    24722{col 34}    63153
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      433{col 34}      436

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00374{col 33} .00508{col 43}-0.7368{col 52}0.461{col 60}-.013706{col 73} .006217
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00281{col 33} .00508{col 43}-0.5538{col 52}0.580{col 60}-.012776{col 73} .007146
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00281{col 33} .00737{col 43}-0.3819{col 52}0.703{col 60} -.01726{col 73}  .01163
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-250Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    51587{col 34}   102956{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7612{col 34}    10399{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.487{col 34}    0.487
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.487{col 34}    0.487
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    25529{col 34}    62346
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      434{col 34}      435

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0057{col 33} .00523{col 43}1.0886{col 52}0.276{col 60} -.00456{col 73} .015954
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00975{col 33} .00523{col 43}1.8635{col 52}0.062{col 60}-.000505{col 73}  .02001
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00975{col 33} .00731{col 43}1.3336{col 52}0.182{col 60}-.004581{col 73} .024086
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-240Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    53380{col 34}   101163{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7861{col 34}    10873{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.476{col 34}    0.476
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.476{col 34}    0.476
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    26370{col 34}    61505
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      433{col 34}      439

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00209{col 33} .00548{col 43}0.3821{col 52}0.702{col 60}-.008648{col 73} .012836
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00762{col 33} .00548{col 43}1.3901{col 52}0.165{col 60}-.003123{col 73}  .01836
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00762{col 33} .00808{col 43}0.9431{col 52}0.346{col 60}-.008214{col 73} .023451
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-230Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    55498{col 34}    99045{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7660{col 34}    10077{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.427{col 34}    0.427
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.427{col 34}    0.427
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    27371{col 34}    60504
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      432{col 34}      436

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00301{col 33} .00578{col 43}0.5214{col 52}0.602{col 60}-.008318{col 73} .014347
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00328{col 33} .00578{col 43}-0.5681{col 52}0.570{col 60}-.014617{col 73} .008048
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00328{col 33} .00834{col 43}-0.3936{col 52}0.694{col 60}-.019639{col 73}  .01307
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-220Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    57531{col 34}    97012{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7964{col 34}    10547{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.419{col 34}    0.419
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.419{col 34}    0.419
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    28355{col 34}    59520
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      434{col 34}      437

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00031{col 33} .00564{col 43}-0.0541{col 52}0.957{col 60}-.011369{col 73} .010758
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00135{col 33} .00564{col 43}0.2392{col 52}0.811{col 60}-.009713{col 73} .012414
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00135{col 33} .00794{col 43}0.1700{col 52}0.865{col 60}-.014219{col 73}  .01692
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-210Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    59815{col 34}    94728{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8425{col 34}    11049{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.413{col 34}    0.413
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.413{col 34}    0.413
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    29471{col 34}    58404
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      431{col 34}      437

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00135{col 33} .00556{col 43}0.2432{col 52}0.808{col 60}-.009545{col 73} .012249
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00783{col 33} .00556{col 43}1.4089{col 52}0.159{col 60}-.003064{col 73}  .01873
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00783{col 33} .00796{col 43}0.9834{col 52}0.325{col 60}-.007778{col 73} .023444
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-200Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    62342{col 34}    92201{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8656{col 34}    10668{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.386{col 34}    0.386
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.386{col 34}    0.386
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    30656{col 34}    57219
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      435{col 34}      434

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00197{col 33} .00551{col 43}0.3572{col 52}0.721{col 60}-.008828{col 73} .012763
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00803{col 33} .00551{col 43}1.4572{col 52}0.145{col 60}-.002769{col 73} .018822
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00803{col 33}  .0077{col 43}1.0418{col 52}0.298{col 60}-.007074{col 73} .023127
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-190Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    64821{col 34}    89722{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9284{col 34}    11581{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.397{col 34}    0.397
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.397{col 34}    0.397
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    31914{col 34}    55961
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      435{col 34}      437

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00715{col 33} .00567{col 43}-1.2613{col 52}0.207{col 60}-.018264{col 73} .003962
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01275{col 33} .00567{col 43}-2.2491{col 52}0.025{col 60}-.023865{col 73}-.001639
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01275{col 33} .00772{col 43}-1.6512{col 52}0.099{col 60}-.027889{col 73} .002385
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-180Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    67525{col 34}    87018{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9857{col 34}    11743{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.393{col 34}    0.393
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.393{col 34}    0.393
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    33283{col 34}    54592
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      436{col 34}      438

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00365{col 33} .00555{col 43}0.6577{col 52}0.511{col 60}-.007231{col 73} .014535
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00222{col 33} .00555{col 43}0.4005{col 52}0.689{col 60}-.008659{col 73} .013107
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00222{col 33} .00727{col 43}0.3059{col 52}0.760{col 60}-.012025{col 73} .016473
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-170Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    70501{col 34}    84042{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11678{col 34}    13360{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.442{col 34}    0.442
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.442{col 34}    0.442
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    34770{col 34}    53105
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      437{col 34}      440

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00191{col 33} .00552{col 43}-0.3464{col 52}0.729{col 60}-.012721{col 73} .008899
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00127{col 33} .00552{col 43}0.2295{col 52}0.819{col 60}-.009544{col 73} .012075
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00127{col 33}  .0085{col 43}0.1489{col 52}0.882{col 60}-.015388{col 73}  .01792
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-160Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    73450{col 34}    81093{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12928{col 34}    14185{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.471{col 34}    0.471
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.471{col 34}    0.471
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    36275{col 34}    51600
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      436{col 34}      443

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00404{col 33} .00579{col 43}-0.6973{col 52}0.486{col 60}-.015383{col 73} .007309
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00539{col 33} .00579{col 43}-0.9316{col 52}0.352{col 60}-.016739{col 73} .005953
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00539{col 33}  .0072{col 43}-0.7495{col 52}0.454{col 60}-.019495{col 73} .008709
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-150Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    76485{col 34}    78058{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16233{col 34}    16916{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.582{col 34}    0.582
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.582{col 34}    0.582
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    37861{col 34}    50014
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      440{col 34}      442

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01004{col 33} .00576{col 43}-1.7433{col 52}0.081{col 60}-.021336{col 73} .001248
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0019{col 33} .00576{col 43}-0.3292{col 52}0.742{col 60}-.013189{col 73} .009395
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0019{col 33} .00748{col 43}-0.2537{col 52}0.800{col 60}-.016553{col 73} .012759
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-140Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    79489{col 34}    75054{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20262{col 34}    19639{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.725{col 34}    0.725
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.725{col 34}    0.725
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    39543{col 34}    48332
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      443

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00352{col 33} .00574{col 43}-0.6133{col 52}0.540{col 60}-.014775{col 73} .007732
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00843{col 33} .00574{col 43}1.4673{col 52}0.142{col 60}-.002828{col 73} .019679
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00843{col 33} .00696{col 43}1.2110{col 52}0.226{col 60}-.005211{col 73} .022061
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-130Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    82555{col 34}    71988{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27391{col 34}    23716{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.015{col 34}    1.015
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.015{col 34}    1.015
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    41192{col 34}    46683
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01407{col 33} .00657{col 43}-2.1421{col 52}0.032{col 60}-.026935{col 73}-.001196
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00245{col 33} .00657{col 43}-0.3738{col 52}0.709{col 60}-.015324{col 73} .010415
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00245{col 33} .00724{col 43}-0.3391{col 52}0.735{col 60}-.016639{col 73}  .01173
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-120Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    85590{col 34}    68953{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19875{col 34}    16449{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.668{col 34}    0.668
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.668{col 34}    0.668
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    42894{col 34}    44981
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00935{col 33} .00755{col 43}-1.2394{col 52}0.215{col 60}-.024144{col 73} .005438
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00856{col 33} .00755{col 43}-1.1340{col 52}0.257{col 60}-.023348{col 73} .006233
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00856{col 33} .00836{col 43}-1.0231{col 52}0.306{col 60} -.02495{col 73} .007836
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-110Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    88484{col 34}    66059{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19229{col 34}    14938{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.643{col 34}    0.643
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.643{col 34}    0.643
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    44568{col 34}    43307
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00029{col 33} .00901{col 43}-0.0322{col 52}0.974{col 60}-.017954{col 73} .017373
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0021{col 33} .00901{col 43}0.2325{col 52}0.816{col 60}-.015568{col 73} .019759
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0021{col 33} .00968{col 43}0.2165{col 52}0.829{col 60}-.016879{col 73}  .02107
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-100Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    91260{col 34}    63283{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19351{col 34}    13953{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.649{col 34}    0.649
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.649{col 34}    0.649
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    46197{col 34}    41678
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00704{col 33} .01055{col 43}0.6671{col 52}0.505{col 60}-.013637{col 73}  .02771
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00639{col 33} .01055{col 43}0.6060{col 52}0.544{col 60}-.014281{col 73} .027066
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00639{col 33} .01238{col 43}0.5165{col 52}0.606{col 60}-.017867{col 73} .030652
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-90Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    93853{col 34}    60690{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18320{col 34}    12643{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.630{col 34}    0.630
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.630{col 34}    0.630
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    47738{col 34}    40137
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      442

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00751{col 33} .01148{col 43}-0.6545{col 52}0.513{col 60}-.030008{col 73} .014983
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0223{col 33} .01148{col 43}-1.9429{col 52}0.052{col 60}-.044796{col 73} .000196
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0223{col 33} .01432{col 43}-1.5576{col 52}0.119{col 60}-.050361{col 73} .005761
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-80Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    96344{col 34}    58199{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18584{col 34}    12008{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.656{col 34}    0.656
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.656{col 34}    0.656
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    49250{col 34}    38625
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      441

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00181{col 33} .01204{col 43}0.1500{col 52}0.881{col 60}-.021791{col 73} .025402
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01309{col 33} .01204{col 43}1.0869{col 52}0.277{col 60}-.010511{col 73} .036682
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01309{col 33} .01425{col 43}0.9185{col 52}0.358{col 60}-.014836{col 73} .041006
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-70Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    98551{col 34}    55992{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18754{col 34}    10768{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.689{col 34}    0.689
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.689{col 34}    0.689
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    50578{col 34}    37297
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      435

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00377{col 33} .01237{col 43}0.3046{col 52}0.761{col 60}-.020476{col 73} .028012
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02856{col 33} .01237{col 43}2.3093{col 52}0.021{col 60} .004321{col 73} .052808
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02856{col 33} .01404{col 43}2.0341{col 52}0.042{col 60} .001041{col 73} .056088
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-60Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   100666{col 34}    53877{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18996{col 34}    10599{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.730{col 34}    0.730
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.730{col 34}    0.730
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    51822{col 34}    36053
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      429

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00629{col 33} .01193{col 43}-0.5272{col 52}0.598{col 60}-.029669{col 73} .017091
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01933{col 33} .01193{col 43}-1.6205{col 52}0.105{col 60} -.04271{col 73}  .00405
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01933{col 33} .01456{col 43}-1.3274{col 52}0.184{col 60}-.047871{col 73} .009212
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-50Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   102654{col 34}    51889{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17369{col 34}     9721{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.711{col 34}    0.711
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.711{col 34}    0.711
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    53022{col 34}    34853
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      422

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00792{col 33} .01178{col 43}-0.6720{col 52}0.502{col 60}-.031005{col 73} .015172
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03618{col 33} .01178{col 43}-3.0713{col 52}0.002{col 60}-.059269{col 73}-.013092
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03618{col 33}  .0152{col 43}-2.3805{col 52}0.017{col 60} -.06597{col 73}-.006391
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-40Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   104400{col 34}    50143{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18451{col 34}    10231{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.787{col 34}    0.787
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.787{col 34}    0.787
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    54096{col 34}    33779
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      428

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0191{col 33} .01159{col 43}1.6475{col 52}0.099{col 60}-.003622{col 73} .041821
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02266{col 33} .01159{col 43}-1.9548{col 52}0.051{col 60}-.045383{col 73}  .00006
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02266{col 33}  .0148{col 43}-1.5313{col 52}0.126{col 60}-.051667{col 73} .006343
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-30Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   106034{col 34}    48509{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19603{col 34}    10924{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.872{col 34}    0.872
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.872{col 34}    0.872
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    55140{col 34}    32735
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      439

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .06323{col 33} .01156{col 43}5.4688{col 52}0.000{col 60} .040568{col 73} .085889
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0134{col 33} .01156{col 43}1.1590{col 52}0.246{col 60}-.009261{col 73}  .03606
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0134{col 33}  .0155{col 43}0.8645{col 52}0.387{col 60} -.01698{col 73}  .04378
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-20Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   107630{col 34}    46913{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20378{col 34}    11338{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.943{col 34}    0.943
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.943{col 34}    0.943
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56196{col 34}    31679
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      443

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0803{col 33} .01113{col 43}7.2127{col 52}0.000{col 60} .058476{col 73} .102115
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03569{col 33} .01113{col 43}3.2058{col 52}0.001{col 60} .013869{col 73} .057508
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03569{col 33} .01745{col 43}2.0448{col 52}0.041{col 60} .001481{col 73} .069896
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-10Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18954{col 34}    11710{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.960{col 34}    0.960
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.960{col 34}    0.960
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .07014{col 33} .01137{col 43}6.1689{col 52}0.000{col 60} .047858{col 73}  .09243
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02176{col 33} .01137{col 43}1.9140{col 52}0.056{col 60}-.000522{col 73}  .04405
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02176{col 33} .01945{col 43}1.1189{col 52}0.263{col 60}-.016361{col 73} .059888
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake0Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   109477{col 34}    45066{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18451{col 34}    12374{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.009{col 34}    1.009
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.009{col 34}    1.009
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    57656{col 34}    30219
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05361{col 33} .01141{col 43}4.6981{col 52}0.000{col 60} .031246{col 73} .075979
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01407{col 33} .01141{col 43}-1.2326{col 52}0.218{col 60}-.036432{col 73} .008301
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01407{col 33}   .017{col 43}-0.8276{col 52}0.408{col 60}-.047376{col 73} .019244
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake10Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   110873{col 34}    43670{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    23933{col 34}    14265{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.254{col 34}    1.254
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.254{col 34}    1.254
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    58622{col 34}    29253
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05153{col 33} .01124{col 43}4.5858{col 52}0.000{col 60} .029504{col 73} .073548
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00303{col 33} .01124{col 43}-0.2694{col 52}0.788{col 60} -.02505{col 73} .018995
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00303{col 33} .01598{col 43}-0.1895{col 52}0.850{col 60}-.034345{col 73} .028291
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake20Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   112241{col 34}    42302{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18621{col 34}    12485{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.109{col 34}    1.109
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.109{col 34}    1.109
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    59497{col 34}    28378
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01161{col 33} .01246{col 43}0.9316{col 52}0.352{col 60}-.012815{col 73} .036035
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01916{col 33} .01246{col 43}-1.5377{col 52}0.124{col 60}-.043588{col 73} .005262
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01916{col 33} .01728{col 43}-1.1089{col 52}0.267{col 60}-.053033{col 73} .014707
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake30Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113524{col 34}    41019{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14635{col 34}    10996{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.986{col 34}    0.986
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.986{col 34}    0.986
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    60308{col 34}    27567
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      435{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01722{col 33} .01368{col 43}-1.2587{col 52}0.208{col 60}-.044034{col 73} .009594
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03398{col 33} .01368{col 43}-2.4834{col 52}0.013{col 60}-.060789{col 73}-.007161
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03398{col 33} .01914{col 43}-1.7754{col 52}0.076{col 60}-.071483{col 73} .003532
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake40Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114800{col 34}    39743{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13894{col 34}    10668{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.988{col 34}    0.988
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.988{col 34}    0.988
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    61134{col 34}    26741
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      431{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03769{col 33} .01357{col 43}-2.7777{col 52}0.005{col 60}-.064283{col 73}-.011095
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01874{col 33} .01357{col 43}-1.3812{col 52}0.167{col 60}-.045334{col 73} .007853
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01874{col 33} .02003{col 43}-0.9358{col 52}0.349{col 60}-.057992{col 73} .020511
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake50Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   116071{col 34}    38472{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11921{col 34}     9646{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.916{col 34}    0.916
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.916{col 34}    0.916
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    61905{col 34}    25970
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      436{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04087{col 33} .01439{col 43}-2.8402{col 52}0.005{col 60}-.069067{col 73}-.012665
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00334{col 33} .01439{col 43}0.2320{col 52}0.817{col 60}-.024863{col 73} .031539
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00334{col 33} .02061{col 43}0.1620{col 52}0.871{col 60} -.03705{col 73} .043725
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake60Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   117297{col 34}    37246{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10764{col 34}     8892{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.868{col 34}    0.868
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.868{col 34}    0.868
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    62677{col 34}    25198
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      441{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00924{col 33} .01501{col 43}-0.6156{col 52}0.538{col 60}-.038664{col 73} .020181
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05901{col 33} .01501{col 43}3.9309{col 52}0.000{col 60} .029588{col 73} .088432
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05901{col 33} .02105{col 43}2.8027{col 52}0.005{col 60} .017743{col 73} .100276
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake70Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   118448{col 34}    36095{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10094{col 34}     8323{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.844{col 34}    0.844
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.844{col 34}    0.844
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    63367{col 34}    24508
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00046{col 33} .01534{col 43}0.0298{col 52}0.976{col 60}-.029615{col 73}  .03053
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02986{col 33} .01534{col 43}1.9458{col 52}0.052{col 60}-.000217{col 73} .059929
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02986{col 33} .02294{col 43}1.3013{col 52}0.193{col 60}-.015112{col 73} .074825
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake80Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   119606{col 34}    34937{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10398{col 34}     7799{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.820{col 34}    0.820
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.820{col 34}    0.820
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    64072{col 34}    23803
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03463{col 33} .01501{col 43}-2.3065{col 52}0.021{col 60}-.064053{col 73}-.005203
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02969{col 33} .01501{col 43}-1.9775{col 52}0.048{col 60}-.059114{col 73}-.000264
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02969{col 33} .02266{col 43}-1.3099{col 52}0.190{col 60} -.07411{col 73} .014732
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake90Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   120706{col 34}    33837{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10254{col 34}     7616{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.831{col 34}    0.831
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.831{col 34}    0.831
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    64757{col 34}    23118
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01726{col 33} .01527{col 43}-1.1304{col 52}0.258{col 60}-.047192{col 73} .012668
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02235{col 33} .01527{col 43}-1.4637{col 52}0.143{col 60}-.052282{col 73} .007578
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02235{col 33} .02278{col 43}-0.9813{col 52}0.326{col 60}-.066995{col 73} .022292
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake100Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   121768{col 34}    32775{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10138{col 34}     7327{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.844{col 34}    0.844
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.844{col 34}    0.844
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    65429{col 34}    22446
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00374{col 33} .01554{col 43}-0.2408{col 52}0.810{col 60}-.034198{col 73} .026713
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01366{col 33} .01554{col 43}-0.8789{col 52}0.379{col 60}-.044112{col 73} .016798
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01366{col 33}  .0227{col 43}-0.6017{col 52}0.547{col 60}-.058143{col 73}  .03083
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake110Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122747{col 34}    31796{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9680{col 34}     6981{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.835{col 34}    0.835
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.835{col 34}    0.835
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    66056{col 34}    21819
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00817{col 33} .01548{col 43}-0.5280{col 52}0.598{col 60}-.038523{col 73} .022173
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02783{col 33} .01548{col 43}-1.7975{col 52}0.072{col 60}-.058181{col 73} .002515
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02783{col 33} .02302{col 43}-1.2088{col 52}0.227{col 60}-.072961{col 73} .017295
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake120Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   123757{col 34}    30786{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10124{col 34}     7060{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.892{col 34}    0.892
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.892{col 34}    0.892
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    66661{col 34}    21214
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03718{col 33} .01589{col 43}2.3394{col 52}0.019{col 60}  .00603{col 73} .068324
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .06594{col 33} .01589{col 43}4.1491{col 52}0.000{col 60} .034789{col 73} .097083
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .06594{col 33} .02255{col 43}2.9244{col 52}0.003{col 60} .021745{col 73} .110126
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake130Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   124638{col 34}    29905{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10068{col 34}     6967{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.917{col 34}    0.917
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.917{col 34}    0.917
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67222{col 34}    20653
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0182{col 33} .01598{col 43}1.1388{col 52}0.255{col 60}-.013126{col 73} .049527
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02127{col 33} .01598{col 43}1.3308{col 52}0.183{col 60}-.010056{col 73} .052597
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02127{col 33} .02301{col 43}0.9244{col 52}0.355{col 60}-.023831{col 73} .066372
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake140Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125567{col 34}    28976{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10322{col 34}     6905{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.966{col 34}    0.966
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.966{col 34}    0.966
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67799{col 34}    20076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0021{col 33} .01642{col 43}-0.1280{col 52}0.898{col 60}-.034279{col 73} .030076
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00177{col 33} .01642{col 43}0.1077{col 52}0.914{col 60}-.030409{col 73} .033946
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00177{col 33} .02312{col 43}0.0765{col 52}0.939{col 60}-.043549{col 73} .047086
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake150Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   126431{col 34}    28112{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10026{col 34}     6655{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.972{col 34}    0.972
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.972{col 34}    0.972
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    68326{col 34}    19549
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01568{col 33} .01611{col 43}-0.9733{col 52}0.330{col 60}-.047262{col 73} .015898
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02724{col 33} .01611{col 43}-1.6903{col 52}0.091{col 60}-.058816{col 73} .004345
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02724{col 33}  .0233{col 43}-1.1688{col 52}0.242{col 60}-.072906{col 73} .018435
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake160Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   127249{col 34}    27294{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10263{col 34}     6687{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.026{col 34}    1.026
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.026{col 34}    1.026
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    68806{col 34}    19069
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01308{col 33} .01608{col 43}-0.8137{col 52}0.416{col 60}-.044599{col 73} .018432
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0426{col 33} .01608{col 43}-2.6492{col 52}0.008{col 60}-.074112{col 73}-.011082
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0426{col 33} .02302{col 43}-1.8505{col 52}0.064{col 60}-.087713{col 73} .002519
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake170Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   128060{col 34}    26483{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11065{col 34}     6907{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.125{col 34}    1.125
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.125{col 34}    1.125
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    69289{col 34}    18586
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00484{col 33} .01604{col 43}0.3018{col 52}0.763{col 60}-.026598{col 73} .036281
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0131{col 33} .01604{col 43}-0.8169{col 52}0.414{col 60}-.044544{col 73} .018335
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0131{col 33} .02315{col 43}-0.5661{col 52}0.571{col 60}-.058474{col 73} .032265
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake180Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   128807{col 34}    25736{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11134{col 34}     6838{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.168{col 34}    1.168
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.168{col 34}    1.168
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    69778{col 34}    18097
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00336{col 33} .01616{col 43}0.2077{col 52}0.835{col 60}-.028326{col 73} .035039
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01727{col 33} .01616{col 43}-1.0681{col 52}0.285{col 60}-.048948{col 73} .014417
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01727{col 33} .02366{col 43}-0.7299{col 52}0.465{col 60}-.063631{col 73}   .0291
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake190Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   129465{col 34}    25078{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11636{col 34}     7060{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.255{col 34}    1.255
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.255{col 34}    1.255
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70198{col 34}    17677
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00394{col 33} .01608{col 43}0.2450{col 52}0.806{col 60}-.027571{col 73} .035449
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00327{col 33} .01608{col 43}0.2037{col 52}0.839{col 60}-.028235{col 73} .034785
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00327{col 33} .02354{col 43}0.1391{col 52}0.889{col 60}-.042863{col 73} .049412
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake200Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   130153{col 34}    24390{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12558{col 34}     7263{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.376{col 34}    1.376
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.376{col 34}    1.376
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70642{col 34}    17233
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01421{col 33} .01549{col 43}-0.9176{col 52}0.359{col 60}-.044564{col 73} .016143
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00555{col 33} .01549{col 43}-0.3581{col 52}0.720{col 60}  -.0359{col 73} .024807
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00555{col 33} .02292{col 43}-0.2420{col 52}0.809{col 60}-.050466{col 73} .039373
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake210Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   130872{col 34}    23671{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14239{col 34}     7616{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.555{col 34}    1.555
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.555{col 34}    1.555
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71099{col 34}    16776
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01718{col 33} .01476{col 43}-1.1637{col 52}0.245{col 60}-.046103{col 73} .011752
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00589{col 33} .01476{col 43}0.3988{col 52}0.690{col 60}-.023041{col 73} .034813
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00589{col 33}  .0214{col 43}0.2751{col 52}0.783{col 60} -.03605{col 73} .047822
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake220Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   131498{col 34}    23045{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15664{col 34}     7856{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.717{col 34}    1.717
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.717{col 34}    1.717
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71492{col 34}    16383
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02501{col 33} .01434{col 43}-1.7435{col 52}0.081{col 60}-.053118{col 73} .003104
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00144{col 33} .01434{col 43}-0.1004{col 52}0.920{col 60}-.029552{col 73} .026671
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00144{col 33} .02106{col 43}-0.0684{col 52}0.945{col 60}-.042721{col 73} .039841
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake230Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   132091{col 34}    22452{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20036{col 34}     8772{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.113{col 34}    2.113
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.113{col 34}    2.113
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71882{col 34}    15993
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02463{col 33} .01348{col 43}-1.8280{col 52}0.068{col 60}-.051043{col 73} .001778
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01417{col 33} .01348{col 43}-1.0512{col 52}0.293{col 60}-.040576{col 73} .012246
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01417{col 33} .01927{col 43}-0.7349{col 52}0.462{col 60}-.051942{col 73} .023612
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake240Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   132658{col 34}    21885{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    23450{col 34}     9255{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.420{col 34}    2.420
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.420{col 34}    2.420
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72239{col 34}    15636
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03079{col 33}  .0133{col 43}-2.3155{col 52}0.021{col 60}-.056851{col 73}-.004727
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01119{col 33}  .0133{col 43}-0.8416{col 52}0.400{col 60}-.037252{col 73} .014872
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01119{col 33} .01846{col 43}-0.6062{col 52}0.544{col 60} -.04737{col 73} .024989
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake250Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   133240{col 34}    21303{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21695{col 34}     8744{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.350{col 34}    2.350
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.350{col 34}    2.350
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72598{col 34}    15277
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03384{col 33} .01381{col 43}-2.4501{col 52}0.014{col 60}-.060908{col 73} -.00677
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03502{col 33} .01381{col 43}-2.5357{col 52}0.011{col 60} -.06209{col 73}-.007952
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03502{col 33} .01942{col 43}-1.8032{col 52}0.071{col 60}-.073087{col 73} .003045
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake260Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   133787{col 34}    20756{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16862{col 34}     7641{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.031{col 34}    2.031
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.031{col 34}    2.031
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72967{col 34}    14908
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02756{col 33} .01437{col 43}-1.9185{col 52}0.055{col 60}-.055724{col 73} .000595
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0394{col 33} .01437{col 43}-2.7421{col 52}0.006{col 60}-.067556{col 73}-.011237
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0394{col 33} .02107{col 43}-1.8694{col 52}0.062{col 60}-.080702{col 73} .001909
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake270Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   134324{col 34}    20219{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13684{col 34}     6784{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.807{col 34}    1.807
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.807{col 34}    1.807
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73307{col 34}    14568
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0157{col 33} .01536{col 43}-1.0222{col 52}0.307{col 60}-.045803{col 73} .014403
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00051{col 33} .01536{col 43}-0.0333{col 52}0.973{col 60}-.030615{col 73} .029592
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00051{col 33} .02213{col 43}-0.0231{col 52}0.982{col 60}-.043883{col 73}  .04286
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake280Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   134826{col 34}    19717{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11074{col 34}     6009{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.601{col 34}    1.601
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.601{col 34}    1.601
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73627{col 34}    14248
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0074{col 33} .01649{col 43}-0.4489{col 52}0.654{col 60} -.03973{col 73} .024923
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03571{col 33} .01649{col 43}-2.1650{col 52}0.030{col 60}-.068036{col 73}-.003382
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03571{col 33} .02482{col 43}-1.4386{col 52}0.150{col 60}-.084359{col 73}  .01294
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake290Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   135335{col 34}    19208{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10064{col 34}     5590{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.533{col 34}    1.533
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.533{col 34}    1.533
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73943{col 34}    13932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00833{col 33} .01734{col 43}0.4808{col 52}0.631{col 60}-.025645{col 73} .042315
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00168{col 33} .01734{col 43}-0.0967{col 52}0.923{col 60}-.035657{col 73} .032303
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00168{col 33} .02647{col 43}-0.0633{col 52}0.949{col 60}-.053565{col 73} .050211
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake300Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Finland.dta{rm}
saved
{p_end}

{com}. preserve        
{txt}
{com}.         
. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}.         
. levelsof country, local(election)
{res}{txt}`"Brazil"' `"Colombia"' `"Denmark"' `"Finland"'

{com}.         foreach x of local election {c -(}
{txt}  2{com}.                 use "fake-300`x'.dta", clear
{txt}  3{com}.                 forvalues i=-290(10)300 {c -(}
{txt}  4{com}.                 append using fake`i'`x'.dta
{txt}  5{com}.                 {c )-}       
{txt}  6{com}. 
. duplicates drop cutoff parm, force
{txt}  7{com}. 
. twoway (rline min95 max95 cutoff if parm=="Conventional", plotregion(lcolor(black)) ylabel(,format(%9.2f)) lpattern(dash) lcolor(gray) xlabel(-3(1)3, format(%9.0f)) subtitle("Conventional, p = 1, MSE", position(11)) legend(off) xtitle("Cutoff") ytitle(Estimated effect)  graphregion(color(white))  xline(0, lcolor(cranberry)) yline(0, lcolor(black) lwidth(vthin))) (scatter estimate cutoff if parm=="Conventional", connect(direct) lcolor(black) msymbol(none))
{txt}  8{com}. graph save "$dir/temp/fakecutoff1_`x'1a.gph", replace
{txt}  9{com}. twoway (rline min95 max95 cutoff if parm=="Robust", plotregion(lcolor(black)) ylabel(,format(%9.2f)) lpattern(dash) lcolor(gray) xlabel(-3(1)3, format(%9.0f)) subtitle("Robust, p = 1, MSE", position(11)) legend(off) xtitle("Cutoff") ytitle(Estimated effect)  graphregion(color(white))  xline(0, lcolor(cranberry)) yline(0, lcolor(black) lwidth(vthin))) (scatter estimate cutoff if parm=="Robust", connect(direct) lcolor(black) msymbol(none))
{txt} 10{com}. graph save "$dir/temp/fakecutoff2_`x'1a.gph", replace
{txt} 11{com}.         {c )-}

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Brazil1a.gph} saved
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Brazil1a.gph} saved

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Colombia1a.gph} saved
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Colombia1a.gph} saved

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Denmark1a.gph} saved
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Denmark1a.gph} saved

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Finland1a.gph} saved
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Finland1a.gph} saved

{com}. restore
{txt}
{com}. 
. est clear
{txt}
{com}. 
. // p = 1, CER-optimal bandwidths
. 
. levelsof country, local(election)
{res}{txt}`"Brazil"' `"Colombia"' `"Denmark"' `"Finland"'

{com}.                 foreach x of local election {c -(}
{txt}  2{com}.                 preserve
{txt}  3{com}.                 forvalues i=-300(10)300 {c -(}
{txt}  4{com}.                         local k = `i'/100
{txt}  5{com}.                         rdrobust electednextelection rv if rv!=0 & country=="`x'", all rho(1) c(`k') vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{txt}  6{com}.                         parmest, saving("fake`i'`x'.dta", replace)
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}. 
.                 forvalues i=-300(10)300 {c -(}
{txt}  9{com}. 
.                         use fake`i'`x'.dta, clear
{txt} 10{com}.                         gen cutoff =`i'/100
{txt} 11{com}.                         save, replace
{txt} 12{com}.                         sleep 500
{txt} 13{com}.                 {c )-}
{txt} 14{com}.                 restore
{txt} 15{com}.         {c )-}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   417254{col 34}   179006{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25231{col 34}    23284{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.946{col 34}    0.946
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.946{col 34}    0.946
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   282598{col 34}   131787
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5270{col 34}     5282

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}   .005{col 33} .00538{col 43}0.9302{col 52}0.352{col 60}-.005538{col 73} .015544
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01335{col 33} .00538{col 43}2.4815{col 52}0.013{col 60} .002805{col 73} .023887
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01335{col 33} .00786{col 43}1.6972{col 52}0.090{col 60}-.002066{col 73} .028759
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-300Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   419929{col 34}   176331{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    23514{col 34}    21563{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.887{col 34}    0.887
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.887{col 34}    0.887
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   284414{col 34}   129971
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5233{col 34}     5221

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00159{col 33} .00566{col 43}0.2803{col 52}0.779{col 60}-.009512{col 73} .012687
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00817{col 33} .00566{col 43}1.4419{col 52}0.149{col 60}-.002933{col 73} .019265
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00817{col 33} .00843{col 43}0.9684{col 52}0.333{col 60}-.008362{col 73} .024693
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-290Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   422470{col 34}   173790{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21679{col 34}    19927{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.825{col 34}    0.825
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.825{col 34}    0.825
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   286147{col 34}   128238
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5198{col 34}     5162

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00388{col 33} .00604{col 43}-0.6430{col 52}0.520{col 60} -.01571{col 73} .007948
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00226{col 33} .00604{col 43}0.3748{col 52}0.708{col 60}-.009567{col 73} .014091
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00226{col 33} .00893{col 43}0.2534{col 52}0.800{col 60}-.015239{col 73} .019764
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-280Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   425024{col 34}   171236{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20860{col 34}    19124{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.798{col 34}    0.798
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.798{col 34}    0.798
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   287869{col 34}   126516
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5185{col 34}     5140

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00862{col 33} .00622{col 43}-1.3853{col 52}0.166{col 60}-.020815{col 73} .003576
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00846{col 33} .00622{col 43}-1.3594{col 52}0.174{col 60}-.020654{col 73} .003737
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00846{col 33} .00923{col 43}-0.9166{col 52}0.359{col 60}-.026546{col 73} .009629
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-270Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   427590{col 34}   168670{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19404{col 34}    17843{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.753{col 34}    0.753
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.753{col 34}    0.753
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   289607{col 34}   124778
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5123{col 34}     5076

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01288{col 33} .00652{col 43}-1.9770{col 52}0.048{col 60}-.025653{col 73}-.000111
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01734{col 33} .00652{col 43}-2.6606{col 52}0.008{col 60}-.030107{col 73}-.004566
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01734{col 33}  .0098{col 43}-1.7694{col 52}0.077{col 60} -.03654{col 73} .001868
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-260Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   429942{col 34}   166318{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18745{col 34}    17576{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.736{col 34}    0.736
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.736{col 34}    0.736
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   291259{col 34}   123126
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5074{col 34}     5089

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00919{col 33}  .0067{col 43}-1.3707{col 52}0.170{col 60}-.022323{col 73}  .00395
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00921{col 33}  .0067{col 43}-1.3744{col 52}0.169{col 60}-.022348{col 73} .003925
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00921{col 33} .00997{col 43}-0.9237{col 52}0.356{col 60}-.028758{col 73} .010334
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-250Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   432367{col 34}   163893{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18533{col 34}    17380{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.732{col 34}    0.732
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.732{col 34}    0.732
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   292951{col 34}   121434
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5069{col 34}     5064

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00131{col 33} .00667{col 43}-0.1957{col 52}0.845{col 60}-.014381{col 73}  .01177
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00504{col 33} .00667{col 43}-0.7550{col 52}0.450{col 60}-.018112{col 73} .008039
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00504{col 33} .01002{col 43}-0.5026{col 52}0.615{col 60}-.024677{col 73} .014604
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-240Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   434827{col 34}   161433{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18506{col 34}    17304{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.737{col 34}    0.737
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.737{col 34}    0.737
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   294623{col 34}   119762
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5065{col 34}     5065

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00801{col 33} .00689{col 43}1.1622{col 52}0.245{col 60}  -.0055{col 73} .021526
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01117{col 33} .00689{col 43}1.6206{col 52}0.105{col 60}-.002339{col 73} .024687
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01117{col 33} .01017{col 43}1.0986{col 52}0.272{col 60}-.008761{col 73} .031109
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-230Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   437158{col 34}   159102{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18282{col 34}    17427{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.739{col 34}    0.739
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.739{col 34}    0.739
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   296222{col 34}   118163
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5059{col 34}     5067

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01757{col 33} .00712{col 43}2.4686{col 52}0.014{col 60}  .00362{col 73} .031515
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02013{col 33} .00712{col 43}2.8286{col 52}0.005{col 60} .006181{col 73} .034076
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02013{col 33}  .0106{col 43}1.8991{col 52}0.058{col 60}-.000645{col 73} .040903
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-220Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   439473{col 34}   156787{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17439{col 34}    16842{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.716{col 34}    0.716
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.716{col 34}    0.716
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   297810{col 34}   116575
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5030{col 34}     5025

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00854{col 33} .00738{col 43}1.1575{col 52}0.247{col 60}-.005921{col 73} .023001
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00034{col 33} .00738{col 43}0.0464{col 52}0.963{col 60}-.014119{col 73} .014803
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00034{col 33} .01116{col 43}0.0307{col 52}0.976{col 60}-.021528{col 73} .022212
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-210Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   441746{col 34}   154514{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17228{col 34}    16993{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.720{col 34}    0.720
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.720{col 34}    0.720
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   299412{col 34}   114973
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5009{col 34}     5025

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00251{col 33} .00752{col 43}-0.3339{col 52}0.738{col 60}-.017256{col 73} .012233
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00642{col 33} .00752{col 43}-0.8533{col 52}0.394{col 60}-.021164{col 73} .008326
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00642{col 33} .01113{col 43}-0.5765{col 52}0.564{col 60}-.028241{col 73} .015403
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-200Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   444204{col 34}   152056{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17339{col 34}    16887{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.728{col 34}    0.728
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.728{col 34}    0.728
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   301070{col 34}   113315
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5055{col 34}     5022

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00228{col 33} .00759{col 43}-0.3004{col 52}0.764{col 60}-.017159{col 73} .012599
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0068{col 33} .00759{col 43}-0.8954{col 52}0.371{col 60}-.021676{col 73} .008082
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0068{col 33} .01101{col 43}-0.6176{col 52}0.537{col 60}-.028367{col 73} .014772
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-190Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   446600{col 34}   149660{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17635{col 34}    17037{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.742{col 34}    0.742
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.742{col 34}    0.742
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   302667{col 34}   111718
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5080{col 34}     5055

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00844{col 33} .00767{col 43}-1.1007{col 52}0.271{col 60}-.023478{col 73} .006592
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00181{col 33} .00767{col 43}0.2361{col 52}0.813{col 60}-.013224{col 73} .016846
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00181{col 33} .01107{col 43}0.1637{col 52}0.870{col 60}-.019876{col 73} .023499
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-180Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   449030{col 34}   147230{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17922{col 34}    16908{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.752{col 34}    0.752
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.752{col 34}    0.752
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   304324{col 34}   110061
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5096{col 34}     5073

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00317{col 33} .00779{col 43}-0.4075{col 52}0.684{col 60}-.018443{col 73} .012094
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01115{col 33} .00779{col 43}1.4314{col 52}0.152{col 60}-.004118{col 73} .026419
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01115{col 33} .01152{col 43}0.9682{col 52}0.333{col 60}-.011422{col 73} .033724
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-170Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   451305{col 34}   144955{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18115{col 34}    17029{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.765{col 34}    0.765
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.765{col 34}    0.765
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   305923{col 34}   108462
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5101{col 34}     5084

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00476{col 33}  .0079{col 43}-0.6025{col 52}0.547{col 60}-.020244{col 73} .010724
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00113{col 33}  .0079{col 43}-0.1429{col 52}0.886{col 60}-.016613{col 73} .014355
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00113{col 33} .01183{col 43}-0.0955{col 52}0.924{col 60}-.024306{col 73} .022048
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-160Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   453634{col 34}   142626{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18650{col 34}    17394{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.792{col 34}    0.792
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.792{col 34}    0.792
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   307533{col 34}   106852
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5147{col 34}     5130

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00492{col 33} .00794{col 43}-0.6201{col 52}0.535{col 60} -.02048{col 73} .010636
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00041{col 33} .00794{col 43}-0.0521{col 52}0.958{col 60}-.015972{col 73} .015144
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00041{col 33} .01164{col 43}-0.0355{col 52}0.972{col 60} -.02323{col 73} .022402
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-150Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   455997{col 34}   140263{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19167{col 34}    17651{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.813{col 34}    0.813
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.813{col 34}    0.813
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   309168{col 34}   105217
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5163{col 34}     5168

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00227{col 33} .00798{col 43}0.2845{col 52}0.776{col 60}-.013374{col 73} .017915
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01054{col 33} .00798{col 43}-1.3207{col 52}0.187{col 60}-.026187{col 73} .005103
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01054{col 33} .01159{col 43}-0.9095{col 52}0.363{col 60} -.03326{col 73} .012176
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-140Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   458277{col 34}   137983{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19769{col 34}    18084{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.842{col 34}    0.842
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.842{col 34}    0.842
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   310746{col 34}   103639
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5193{col 34}     5184

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00926{col 33} .00804{col 43}1.1521{col 52}0.249{col 60}-.006496{col 73} .025022
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00382{col 33} .00804{col 43}-0.4756{col 52}0.634{col 60}-.019583{col 73} .011935
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00382{col 33} .01172{col 43}-0.3262{col 52}0.744{col 60}-.026796{col 73} .019148
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-130Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   460455{col 34}   135805{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20090{col 34}    18376{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.861{col 34}    0.861
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.861{col 34}    0.861
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   312256{col 34}   102129
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5196{col 34}     5193

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00825{col 33} .00816{col 43}1.0106{col 52}0.312{col 60}-.007751{col 73} .024254
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00717{col 33} .00816{col 43}0.8784{col 52}0.380{col 60}-.008831{col 73} .023174
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00717{col 33} .01181{col 43}0.6075{col 52}0.544{col 60}-.015966{col 73}  .03031
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-120Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   462704{col 34}   133556{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20985{col 34}    18960{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.902{col 34}    0.902
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.902{col 34}    0.902
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   313770{col 34}   100615
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5238{col 34}     5209

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00166{col 33} .00813{col 43}-0.2044{col 52}0.838{col 60}-.017599{col 73} .014276
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00567{col 33} .00813{col 43}0.6967{col 52}0.486{col 60}-.010272{col 73} .021603
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00567{col 33} .01198{col 43}0.4729{col 52}0.636{col 60}-.017816{col 73} .029147
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-110Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   464822{col 34}   131438{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21742{col 34}    19644{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.946{col 34}    0.946
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.946{col 34}    0.946
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   315242{col 34}    99143
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5267{col 34}     5238

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00965{col 33} .00802{col 43}-1.2022{col 52}0.229{col 60}-.025369{col 73} .006079
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01394{col 33} .00802{col 43}1.7378{col 52}0.082{col 60}-.001783{col 73} .029666
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01394{col 33}  .0119{col 43}1.1712{col 52}0.242{col 60} -.00939{col 73} .037273
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-100Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   466962{col 34}   129298{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21437{col 34}    18373{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.943{col 34}    0.943
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.943{col 34}    0.943
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   316702{col 34}    97683
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5288{col 34}     5144

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01304{col 33} .00821{col 43}-1.5885{col 52}0.112{col 60}-.029128{col 73} .003049
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00295{col 33} .00821{col 43}-0.3597{col 52}0.719{col 60}-.019041{col 73} .013136
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00295{col 33}  .0122{col 43}-0.2420{col 52}0.809{col 60}-.026863{col 73} .020959
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-90Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   469107{col 34}   127153{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    22391{col 34}    19073{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.995{col 34}    0.995
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.995{col 34}    0.995
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   318169{col 34}    96216
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5300{col 34}     5014

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00382{col 33}  .0081{col 43}0.4710{col 52}0.638{col 60}-.012062{col 73} .019694
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01279{col 33}  .0081{col 43}-1.5789{col 52}0.114{col 60}-.028669{col 73} .003087
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01279{col 33} .01194{col 43}-1.0710{col 52}0.284{col 60}-.036198{col 73} .010617
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-80Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   471184{col 34}   125076{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    22309{col 34}    19149{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.005{col 34}    1.005
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.005{col 34}    1.005
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   319643{col 34}    94742
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5318{col 34}     4855

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00288{col 33} .00806{col 43}-0.3571{col 52}0.721{col 60}-.018669{col 73} .012914
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04388{col 33} .00806{col 43}-5.4465{col 52}0.000{col 60}-.059675{col 73}-.028092
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04388{col 33} .01204{col 43}-3.6435{col 52}0.000{col 60} -.06749{col 73}-.020277
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-70Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   473355{col 34}   122905{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24155{col 34}    20587{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.092{col 34}    1.092
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.092{col 34}    1.092
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   321154{col 34}    93231
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5371{col 34}     4645

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01865{col 33} .00788{col 43}2.3667{col 52}0.018{col 60} .003206{col 73} .034103
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01745{col 33} .00788{col 43}-2.2137{col 52}0.027{col 60}-.032897{col 73}   -.002
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01745{col 33} .01167{col 43}-1.4953{col 52}0.135{col 60} -.04032{col 73} .005423
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-60Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   475449{col 34}   120811{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25015{col 34}    21239{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.139{col 34}    1.139
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.139{col 34}    1.139
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   322586{col 34}    91799
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5395{col 34}     4727

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03007{col 33} .00795{col 43}3.7818{col 52}0.000{col 60} .014488{col 73} .045661
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01268{col 33} .00795{col 43}1.5939{col 52}0.111{col 60}-.002911{col 73} .028262
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01268{col 33}  .0117{col 43}1.0831{col 52}0.279{col 60}-.010263{col 73} .035614
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-50Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   477537{col 34}   118723{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24213{col 34}    20517{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.113{col 34}    1.113
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.113{col 34}    1.113
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   324054{col 34}    90331
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5378{col 34}     4877

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0372{col 33} .00813{col 43}4.5754{col 52}0.000{col 60} .021264{col 73} .053132
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03331{col 33} .00813{col 43}4.0968{col 52}0.000{col 60} .017373{col 73} .049241
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03331{col 33} .01212{col 43}2.7492{col 52}0.006{col 60} .009562{col 73} .057052
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-40Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   479583{col 34}   116677{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    23177{col 34}    19645{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.080{col 34}    1.080
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.080{col 34}    1.080
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   325497{col 34}    88888
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5370{col 34}     4992

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03788{col 33} .00851{col 43}4.4516{col 52}0.000{col 60} .021202{col 73} .054558
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04095{col 33} .00851{col 43}4.8123{col 52}0.000{col 60} .024272{col 73} .057627
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04095{col 33}  .0127{col 43}3.2248{col 52}0.001{col 60} .016062{col 73} .065837
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-30Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   481621{col 34}   114639{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    22370{col 34}    19021{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.057{col 34}    1.057
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.057{col 34}    1.057
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   326948{col 34}    87437
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5353{col 34}     5091

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0243{col 33} .00882{col 43}2.7549{col 52}0.006{col 60} .007013{col 73} .041596
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02589{col 33} .00882{col 43}2.9350{col 52}0.003{col 60} .008602{col 73} .043184
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02589{col 33} .01325{col 43}1.9540{col 52}0.051{col 60}-.000079{col 73} .051865
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-20Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   483631{col 34}   112629{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21241{col 34}    18025{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.013{col 34}    1.013
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.013{col 34}    1.013
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   328447{col 34}    85938
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5287{col 34}     5162

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00594{col 33} .00934{col 43}-0.6357{col 52}0.525{col 60}-.024238{col 73} .012366
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00183{col 33} .00934{col 43}-0.1960{col 52}0.845{col 60}-.020132{col 73} .016471
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00183{col 33}  .0145{col 43}-0.1262{col 52}0.900{col 60}-.030257{col 73} .026596
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-10Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19133{col 34}    17359{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.953{col 34}    0.953
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.953{col 34}    0.953
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5207{col 34}     5203

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04595{col 33} .00989{col 43}-4.6486{col 52}0.000{col 60}-.065327{col 73}-.026578
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06059{col 33} .00989{col 43}-6.1289{col 52}0.000{col 60} -.07996{col 73}-.041211
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06059{col 33} .01591{col 43}-3.8091{col 52}0.000{col 60}-.091759{col 73}-.029412
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake0Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   486336{col 34}   109924{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17975{col 34}    17486{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.933{col 34}    0.933
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.933{col 34}    0.933
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   330780{col 34}    83605
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5060{col 34}     5222

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04141{col 33} .00983{col 43}-4.2109{col 52}0.000{col 60} -.06069{col 73}-.022138
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03472{col 33} .00983{col 43}-3.5302{col 52}0.000{col 60}-.053996{col 73}-.015443
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03472{col 33} .01493{col 43}-2.3249{col 52}0.020{col 60}-.063989{col 73} -.00545
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake10Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   488275{col 34}   107985{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18310{col 34}    17817{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.959{col 34}    0.959
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.959{col 34}    0.959
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   332243{col 34}    82142
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     4948{col 34}     5259

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03161{col 33} .00963{col 43}-3.2823{col 52}0.001{col 60} -.05049{col 73}-.012736
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01696{col 33} .00963{col 43}-1.7608{col 52}0.078{col 60}-.035836{col 73} .001918
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01696{col 33} .01424{col 43}-1.1911{col 52}0.234{col 60}-.044865{col 73} .010948
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake20Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   490255{col 34}   106005{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18386{col 34}    17713{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.968{col 34}    0.968
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.968{col 34}    0.968
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   333651{col 34}    80734
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     4787{col 34}     5284

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03354{col 33} .00961{col 43}-3.4909{col 52}0.000{col 60}-.052369{col 73}-.014708
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01374{col 33} .00961{col 43}-1.4305{col 52}0.153{col 60}-.032574{col 73} .005086
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01374{col 33} .01396{col 43}-0.9848{col 52}0.325{col 60}-.041097{col 73} .013609
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake30Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   492206{col 34}   104054{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18883{col 34}    18095{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.002{col 34}    1.002
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.002{col 34}    1.002
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   335040{col 34}    79345
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     4641{col 34}     5302

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01059{col 33} .00952{col 43}-1.1121{col 52}0.266{col 60} -.02926{col 73} .008076
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0312{col 33} .00952{col 43}3.2760{col 52}0.001{col 60} .012534{col 73}  .04987
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0312{col 33} .01393{col 43}2.2395{col 52}0.025{col 60} .003895{col 73}  .05851
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake40Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   494096{col 34}   102164{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18888{col 34}    18088{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.013{col 34}    1.013
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.013{col 34}    1.013
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   336371{col 34}    78014
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     4365{col 34}     5296

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00253{col 33} .00961{col 43}0.2630{col 52}0.793{col 60}-.016303{col 73} .021356
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02115{col 33} .00961{col 43}2.2015{col 52}0.028{col 60}  .00232{col 73} .039979
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02115{col 33} .01412{col 43}1.4975{col 52}0.134{col 60}-.006531{col 73}  .04883
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake50Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   495991{col 34}   100269{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19148{col 34}    18208{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.035{col 34}    1.035
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.035{col 34}    1.035
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   337696{col 34}    76689
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     4643{col 34}     5327

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00862{col 33} .00964{col 43}0.8948{col 52}0.371{col 60}-.010265{col 73} .027511
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0078{col 33} .00964{col 43}0.8093{col 52}0.418{col 60}-.011089{col 73} .026687
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0078{col 33} .01421{col 43}0.5490{col 52}0.583{col 60}-.020045{col 73} .035643
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake60Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   497829{col 34}    98431{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19607{col 34}    18489{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.068{col 34}    1.068
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.068{col 34}    1.068
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   339000{col 34}    75385
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     4856{col 34}     5328

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01385{col 33}  .0096{col 43}1.4428{col 52}0.149{col 60}-.004964{col 73} .032659
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01817{col 33}  .0096{col 43}1.8927{col 52}0.058{col 60}-.000646{col 73} .036977
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01817{col 33} .01432{col 43}1.2689{col 52}0.204{col 60}-.009894{col 73} .046225
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake70Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   499578{col 34}    96682{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19510{col 34}    18551{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.076{col 34}    1.076
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.076{col 34}    1.076
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   340269{col 34}    74116
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5014{col 34}     5323

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01495{col 33} .00958{col 43}1.5603{col 52}0.119{col 60}-.003828{col 73} .033722
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02071{col 33} .00958{col 43}2.1623{col 52}0.031{col 60} .001939{col 73} .039489
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02071{col 33} .01413{col 43}1.4661{col 52}0.143{col 60}-.006977{col 73} .048405
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake80Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   501425{col 34}    94835{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20055{col 34}    18851{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.113{col 34}    1.113
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.113{col 34}    1.113
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   341545{col 34}    72840
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5148{col 34}     5328

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01004{col 33} .00947{col 43}1.0601{col 52}0.289{col 60}-.008524{col 73} .028609
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00969{col 33} .00947{col 43}-1.0234{col 52}0.306{col 60} -.02826{col 73} .008872
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00969{col 33} .01405{col 43}-0.6901{col 52}0.490{col 60}-.037227{col 73} .017839
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake90Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   503229{col 34}    93031{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20427{col 34}    19064{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.142{col 34}    1.142
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.142{col 34}    1.142
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   342819{col 34}    71566
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5251{col 34}     5318

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00482{col 33}  .0095{col 43}0.5072{col 52}0.612{col 60}-.013795{col 73} .023426
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01642{col 33}  .0095{col 43}-1.7289{col 52}0.084{col 60}-.035027{col 73} .002194
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01642{col 33} .01383{col 43}-1.1866{col 52}0.235{col 60}-.043533{col 73} .010699
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake100Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   505005{col 34}    91255{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20304{col 34}    18725{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.139{col 34}    1.139
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.139{col 34}    1.139
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   344062{col 34}    70323
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5313{col 34}     5309

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0162{col 33} .00945{col 43}-1.7148{col 52}0.086{col 60}-.034719{col 73} .002316
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03773{col 33} .00945{col 43}-3.9935{col 52}0.000{col 60}-.056247{col 73}-.019213
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03773{col 33} .01407{col 43}-2.6817{col 52}0.007{col 60}-.065306{col 73}-.010154
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake110Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   506825{col 34}    89435{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    21830{col 34}    19118{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.192{col 34}    1.192
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.192{col 34}    1.192
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   345321{col 34}    69064
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5385{col 34}     5336

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00267{col 33} .00921{col 43}-0.2894{col 52}0.772{col 60}-.020723{col 73} .015391
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00195{col 33} .00921{col 43}0.2116{col 52}0.832{col 60}-.016107{col 73} .020006
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00195{col 33} .01382{col 43}0.1411{col 52}0.888{col 60}-.025132{col 73} .029031
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake120Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   508527{col 34}    87733{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    22858{col 34}    19471{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.236{col 34}    1.236
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.236{col 34}    1.236
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   346533{col 34}    67852
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5427{col 34}     5347

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00413{col 33} .00907{col 43}-0.4554{col 52}0.649{col 60}-.021918{col 73} .013652
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00186{col 33} .00907{col 43}-0.2046{col 52}0.838{col 60}-.019642{col 73} .015928
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00186{col 33} .01355{col 43}-0.1371{col 52}0.891{col 60}-.028406{col 73} .024692
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake130Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   510275{col 34}    85985{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    23846{col 34}    19945{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.295{col 34}    1.295
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.295{col 34}    1.295
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   347755{col 34}    66630
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5447{col 34}     5358

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00509{col 33} .00901{col 43}-0.5650{col 52}0.572{col 60}-.022741{col 73} .012563
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01905{col 33} .00901{col 43}-2.1151{col 52}0.034{col 60}-.036701{col 73}-.001397
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01905{col 33} .01346{col 43}-1.4156{col 52}0.157{col 60}-.045422{col 73} .007325
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake140Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   511964{col 34}    84296{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26287{col 34}    21599{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.436{col 34}    1.436
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.436{col 34}    1.436
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   348926{col 34}    65459
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5480{col 34}     5413

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00194{col 33} .00861{col 43}0.2251{col 52}0.822{col 60}-.014938{col 73} .018814
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00646{col 33} .00861{col 43}0.7508{col 52}0.453{col 60}-.010411{col 73}  .02334
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00646{col 33} .01286{col 43}0.5029{col 52}0.615{col 60}-.018731{col 73}  .03166
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake150Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   513656{col 34}    82604{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28457{col 34}    22885{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.566{col 34}    1.566
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.566{col 34}    1.566
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   350122{col 34}    64263
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5503{col 34}     5447

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00875{col 33} .00832{col 43}1.0513{col 52}0.293{col 60}-.007563{col 73} .025062
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0232{col 33} .00832{col 43}2.7878{col 52}0.005{col 60}  .00689{col 73} .039515
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0232{col 33} .01248{col 43}1.8593{col 52}0.063{col 60}-.001257{col 73} .047662
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake160Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   515238{col 34}    81022{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    29306{col 34}    23236{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.622{col 34}    1.622
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.622{col 34}    1.622
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   351247{col 34}    63138
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5515{col 34}     5461

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00281{col 33} .00826{col 43}0.3397{col 52}0.734{col 60}-.013382{col 73} .018993
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00336{col 33} .00826{col 43}0.4073{col 52}0.684{col 60}-.012824{col 73} .019551
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00336{col 33} .01244{col 43}0.2703{col 52}0.787{col 60}-.021026{col 73} .027753
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake170Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   516852{col 34}    79408{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31823{col 34}    24625{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.785{col 34}    1.785
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.785{col 34}    1.785
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   352391{col 34}    61994
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5530{col 34}     5482

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00429{col 33} .00803{col 43}0.5341{col 52}0.593{col 60}-.011446{col 73} .020022
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01114{col 33} .00803{col 43}1.3879{col 52}0.165{col 60}-.004592{col 73} .026876
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01114{col 33} .01191{col 43}0.9357{col 52}0.349{col 60}-.012197{col 73} .034481
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake180Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   518523{col 34}    77737{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31656{col 34}    23903{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.773{col 34}    1.773
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.773{col 34}    1.773
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   353556{col 34}    60829
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5531{col 34}     5479

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00181{col 33} .00817{col 43}-0.2221{col 52}0.824{col 60}-.017826{col 73} .014197
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00387{col 33} .00817{col 43}0.4741{col 52}0.635{col 60}-.012138{col 73} .019885
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00387{col 33} .01204{col 43}0.3217{col 52}0.748{col 60}-.019725{col 73} .027472
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake190Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   520067{col 34}    76193{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    34954{col 34}    25672{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.974{col 34}    1.974
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.974{col 34}    1.974
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   354678{col 34}    59707
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5549{col 34}     5507

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00116{col 33} .00779{col 43}0.1485{col 52}0.882{col 60}-.014117{col 73}  .01643
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01244{col 33} .00779{col 43}1.5960{col 52}0.110{col 60}-.002836{col 73} .027711
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01244{col 33} .01151{col 43}1.0808{col 52}0.280{col 60}-.010117{col 73} .034992
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake200Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   521636{col 34}    74624{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    35998{col 34}    25834{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.037{col 34}    2.037
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.037{col 34}    2.037
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   355822{col 34}    58563
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5549{col 34}     5516

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00305{col 33} .00773{col 43}-0.3950{col 52}0.693{col 60}-.018209{col 73} .012101
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00205{col 33} .00773{col 43}0.2653{col 52}0.791{col 60}-.013103{col 73} .017206
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00205{col 33} .01147{col 43}0.1789{col 52}0.858{col 60}-.020425{col 73} .024529
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake210Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   523189{col 34}    73071{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36398{col 34}    25724{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.077{col 34}    2.077
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.077{col 34}    2.077
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   356908{col 34}    57477
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5549{col 34}     5517

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00195{col 33} .00777{col 43}-0.2510{col 52}0.802{col 60}-.017168{col 73} .013271
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00435{col 33} .00777{col 43}0.5604{col 52}0.575{col 60}-.010868{col 73} .019571
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00435{col 33} .01163{col 43}0.3742{col 52}0.708{col 60}-.018442{col 73} .027145
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake220Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   524629{col 34}    71631{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    35064{col 34}    24883{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.034{col 34}    2.034
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.034{col 34}    2.034
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   357947{col 34}    56438
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5548{col 34}     5503

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01089{col 33}  .0079{col 43}-1.3796{col 52}0.168{col 60}-.026369{col 73} .004583
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01585{col 33}  .0079{col 43}-2.0068{col 52}0.045{col 60}-.031322{col 73} -.00037
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01585{col 33} .01182{col 43}-1.3404{col 52}0.180{col 60}-.039016{col 73} .007324
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake230Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   526075{col 34}    70185{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    35503{col 34}    24895{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.083{col 34}    2.083
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.083{col 34}    2.083
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   358976{col 34}    55409
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5550{col 34}     5502

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0065{col 33} .00795{col 43}-0.8183{col 52}0.413{col 60} -.02208{col 73} .009073
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00604{col 33} .00795{col 43}-0.7605{col 52}0.447{col 60}-.021621{col 73} .009533
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00604{col 33} .01183{col 43}-0.5109{col 52}0.609{col 60}-.029231{col 73} .017143
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake240Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   527475{col 34}    68785{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    34051{col 34}    24018{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.036{col 34}    2.036
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.036{col 34}    2.036
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   359987{col 34}    54398
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5539{col 34}     5503

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00558{col 33} .00813{col 43}-0.6862{col 52}0.493{col 60}-.021517{col 73} .010358
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01347{col 33} .00813{col 43}-1.6567{col 52}0.098{col 60}-.029408{col 73} .002466
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01347{col 33} .01205{col 43}-1.1177{col 52}0.264{col 60}-.037093{col 73} .010151
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake250Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   528901{col 34}    67359{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30765{col 34}    22064{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.882{col 34}    1.882
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.882{col 34}    1.882
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   360999{col 34}    53386
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5525{col 34}     5469

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0053{col 33} .00854{col 43}-0.6209{col 52}0.535{col 60}-.022045{col 73} .011439
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01387{col 33} .00854{col 43}-1.6240{col 52}0.104{col 60}-.030614{col 73}  .00287
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01387{col 33} .01251{col 43}-1.1089{col 52}0.267{col 60}-.038391{col 73} .010647
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake260Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   530293{col 34}    65967{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26608{col 34}    19655{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.674{col 34}    1.674
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.674{col 34}    1.674
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   361974{col 34}    52411
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5492{col 34}     5421

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00544{col 33} .00912{col 43}0.5962{col 52}0.551{col 60}-.012436{col 73}  .02331
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00781{col 33} .00912{col 43}0.8563{col 52}0.392{col 60}-.010064{col 73} .025682
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00781{col 33} .01343{col 43}0.5816{col 52}0.561{col 60}-.018507{col 73} .034124
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake270Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   531718{col 34}    64542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26645{col 34}    19382{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.696{col 34}    1.696
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.696{col 34}    1.696
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   362987{col 34}    51398
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5493{col 34}     5401

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00265{col 33} .00908{col 43}-0.2914{col 52}0.771{col 60}-.020445{col 73} .015153
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00181{col 33} .00908{col 43}0.1989{col 52}0.842{col 60}-.015993{col 73} .019605
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00181{col 33} .01333{col 43}0.1355{col 52}0.892{col 60}-.024322{col 73} .027934
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake280Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   533073{col 34}    63187{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24213{col 34}    17889{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.582{col 34}    1.582
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.582{col 34}    1.582
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   363951{col 34}    50434
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5456{col 34}     5356

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00339{col 33} .00954{col 43}0.3557{col 52}0.722{col 60}-.015309{col 73} .022097
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00908{col 33} .00954{col 43}0.9520{col 52}0.341{col 60}-.009619{col 73} .027788
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00908{col 33} .01415{col 43}0.6420{col 52}0.521{col 60}-.018648{col 73} .036817
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake290Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   534417{col 34}    61843{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24379{col 34}    17796{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.613{col 34}    1.613
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.613{col 34}    1.613
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   364917{col 34}    49468
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5463{col 34}     5350

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00208{col 33} .00959{col 43}-0.2168{col 52}0.828{col 60}-.020878{col 73}  .01672
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00023{col 33} .00959{col 43}-0.0245{col 52}0.980{col 60}-.019034{col 73} .018564
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00023{col 33} .01427{col 43}-0.0165{col 52}0.987{col 60}-.028208{col 73} .027738
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake300Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    95473{col 34}    52098{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10284{col 34}     9917{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.528{col 34}    1.528
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.528{col 34}    1.528
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    69612{col 34}    42042
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1088{col 34}     1090

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00314{col 33} .00749{col 43}-0.4185{col 52}0.676{col 60} -.01782{col 73} .011549
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00612{col 33} .00749{col 43}-0.8169{col 52}0.414{col 60}-.020805{col 73} .008564
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00612{col 33} .01097{col 43}-0.5581{col 52}0.577{col 60}-.027613{col 73} .015373
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-300Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    96131{col 34}    51440{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10069{col 34}     9672{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.497{col 34}    1.497
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.497{col 34}    1.497
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70108{col 34}    41546
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1087{col 34}     1088

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00274{col 33} .00762{col 43}-0.3595{col 52}0.719{col 60}-.017667{col 73} .012191
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00338{col 33} .00762{col 43}-0.4431{col 52}0.658{col 60}-.018305{col 73} .011554
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00338{col 33} .01132{col 43}-0.2982{col 52}0.766{col 60}-.025558{col 73} .018807
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-290Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    96776{col 34}    50795{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10188{col 34}     9795{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.518{col 34}    1.518
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.518{col 34}    1.518
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70588{col 34}    41066
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1087{col 34}     1086

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00538{col 33} .00776{col 43}-0.6930{col 52}0.488{col 60}-.020593{col 73} .009835
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0133{col 33} .00776{col 43}1.7135{col 52}0.087{col 60}-.001913{col 73} .028515
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0133{col 33} .01125{col 43}1.1823{col 52}0.237{col 60}-.008748{col 73}  .03535
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-280Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    97440{col 34}    50131{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9550{col 34}     9176{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.426{col 34}    1.426
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.426{col 34}    1.426
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71061{col 34}    40593
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1085{col 34}     1087

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01239{col 33}   .008{col 43}-1.5488{col 52}0.121{col 60}-.028073{col 73} .003289
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00047{col 33}   .008{col 43}-0.0583{col 52}0.954{col 60}-.016147{col 73} .015215
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00047{col 33} .01171{col 43}-0.0398{col 52}0.968{col 60}-.023413{col 73} .022481
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-270Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    98102{col 34}    49469{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9206{col 34}     8777{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.373{col 34}    1.373
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.373{col 34}    1.373
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71543{col 34}    40111
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1081{col 34}     1085

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01718{col 33} .00829{col 43}-2.0727{col 52}0.038{col 60}-.033421{col 73}-.000934
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0071{col 33} .00829{col 43}-0.8565{col 52}0.392{col 60}-.023342{col 73} .009145
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0071{col 33} .01217{col 43}-0.5833{col 52}0.560{col 60}-.030948{col 73} .016752
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-260Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    98772{col 34}    48799{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8948{col 34}     8449{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.332{col 34}    1.332
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.332{col 34}    1.332
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72057{col 34}    39597
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1080{col 34}     1083

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01688{col 33} .00831{col 43}-2.0304{col 52}0.042{col 60}-.033172{col 73}-.000585
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00564{col 33} .00831{col 43}-0.6781{col 52}0.498{col 60}-.021931{col 73} .010656
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00564{col 33} .01231{col 43}-0.4580{col 52}0.647{col 60}-.029761{col 73} .018487
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-250Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    99427{col 34}    48144{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8760{col 34}     8254{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.309{col 34}    1.309
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.309{col 34}    1.309
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72545{col 34}    39109
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1079{col 34}     1079

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01138{col 33} .00867{col 43}-1.3121{col 52}0.189{col 60} -.02838{col 73} .005619
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00794{col 33} .00867{col 43}-0.9150{col 52}0.360{col 60}-.024935{col 73} .009064
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00794{col 33} .01281{col 43}-0.6196{col 52}0.536{col 60}-.033038{col 73} .017167
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-240Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   100081{col 34}    47490{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8788{col 34}     8249{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.317{col 34}    1.317
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.317{col 34}    1.317
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73046{col 34}    38608
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1079{col 34}     1078

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00913{col 33} .00885{col 43}-1.0312{col 52}0.302{col 60}-.026476{col 73} .008221
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01745{col 33} .00885{col 43}-1.9711{col 52}0.049{col 60}-.034796{col 73}-.000099
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01745{col 33} .01298{col 43}-1.3439{col 52}0.179{col 60}-.042893{col 73} .007998
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-230Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   100716{col 34}    46855{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8470{col 34}     7925{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.271{col 34}    1.271
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.271{col 34}    1.271
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73522{col 34}    38132
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1083{col 34}     1073

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00101{col 33}   .009{col 43}-0.1127{col 52}0.910{col 60}-.018653{col 73} .016625
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01057{col 33}   .009{col 43}-1.1745{col 52}0.240{col 60}-.028209{col 73} .007069
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01057{col 33}  .0134{col 43}-0.7891{col 52}0.430{col 60}-.036824{col 73} .015684
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-220Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   101388{col 34}    46183{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8712{col 34}     8114{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.313{col 34}    1.313
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.313{col 34}    1.313
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    74028{col 34}    37626
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1084{col 34}     1072

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01159{col 33} .00927{col 43}1.2500{col 52}0.211{col 60}-.006582{col 73}  .02976
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00609{col 33} .00927{col 43}-0.6568{col 52}0.511{col 60}-.024261{col 73} .012082
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00609{col 33} .01372{col 43}-0.4440{col 52}0.657{col 60}-.032975{col 73} .020795
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-210Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   102052{col 34}    45519{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8929{col 34}     8234{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.348{col 34}    1.348
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.348{col 34}    1.348
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    74519{col 34}    37135
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1084{col 34}     1074

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02735{col 33} .00937{col 43}2.9198{col 52}0.004{col 60} .008992{col 73} .045714
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01011{col 33} .00937{col 43}1.0796{col 52}0.280{col 60}-.008247{col 73} .028476
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01011{col 33} .01393{col 43}0.7261{col 52}0.468{col 60}-.017188{col 73} .037417
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-200Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   102726{col 34}    44845{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8911{col 34}     8097{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.340{col 34}    1.340
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.340{col 34}    1.340
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    75032{col 34}    36622
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1085{col 34}     1076

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02555{col 33} .00974{col 43}2.6221{col 52}0.009{col 60} .006452{col 73} .044652
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01491{col 33} .00974{col 43}1.5302{col 52}0.126{col 60}-.004188{col 73} .034012
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01491{col 33} .01476{col 43}1.0100{col 52}0.313{col 60}-.014026{col 73}  .04385
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-190Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   103360{col 34}    44211{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8574{col 34}     7801{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.303{col 34}    1.303
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.303{col 34}    1.303
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    75510{col 34}    36144
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1080{col 34}     1073

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00834{col 33} .00997{col 43}0.8374{col 52}0.402{col 60}-.011187{col 73} .027876
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00959{col 33} .00997{col 43}0.9623{col 52}0.336{col 60}-.009942{col 73}  .02912
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00959{col 33}   .015{col 43}0.6392{col 52}0.523{col 60}-.019814{col 73} .038992
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-180Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   103990{col 34}    43581{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8940{col 34}     8120{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.363{col 34}    1.363
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.363{col 34}    1.363
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    75995{col 34}    35659
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1082{col 34}     1074

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01388{col 33} .00989{col 43}1.4030{col 52}0.161{col 60}-.005511{col 73} .033275
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01444{col 33} .00989{col 43}1.4592{col 52}0.145{col 60}-.004955{col 73} .033831
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01444{col 33} .01518{col 43}0.9510{col 52}0.342{col 60}-.015318{col 73} .044194
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-170Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   104589{col 34}    42982{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8970{col 34}     8176{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.378{col 34}    1.378
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.378{col 34}    1.378
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    76452{col 34}    35202
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1085{col 34}     1079

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00279{col 33} .01004{col 43}0.2783{col 52}0.781{col 60}-.016886{col 73} .022475
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00591{col 33} .01004{col 43}-0.5887{col 52}0.556{col 60}-.025591{col 73} .013769
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00591{col 33} .01494{col 43}-0.3955{col 52}0.692{col 60}-.035202{col 73}  .02338
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-160Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   105236{col 34}    42335{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8862{col 34}     8014{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.362{col 34}    1.362
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.362{col 34}    1.362
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    76945{col 34}    34709
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1082{col 34}     1075

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00688{col 33} .01044{col 43}0.6595{col 52}0.510{col 60}-.013574{col 73} .027342
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01523{col 33} .01044{col 43}1.4593{col 52}0.144{col 60}-.005226{col 73}  .03569
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01523{col 33} .01539{col 43}0.9895{col 52}0.322{col 60} -.01494{col 73} .045404
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-150Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   105825{col 34}    41746{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8787{col 34}     7880{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.359{col 34}    1.359
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.359{col 34}    1.359
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    77383{col 34}    34271
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1082{col 34}     1072

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00096{col 33} .01076{col 43}0.0894{col 52}0.929{col 60}-.020123{col 73} .022046
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02343{col 33} .01076{col 43}2.1781{col 52}0.029{col 60} .002346{col 73} .044515
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02343{col 33} .01572{col 43}1.4907{col 52}0.136{col 60}-.007376{col 73} .054238
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-140Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   106461{col 34}    41110{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8314{col 34}     7292{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.294{col 34}    1.294
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.294{col 34}    1.294
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    77862{col 34}    33792
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1081{col 34}     1069

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01612{col 33} .01111{col 43}-1.4513{col 52}0.147{col 60}-.037896{col 73} .005651
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00374{col 33} .01111{col 43}0.3364{col 52}0.737{col 60}-.018037{col 73} .025511
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00374{col 33} .01662{col 43}0.2249{col 52}0.822{col 60} -.02883{col 73} .036304
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-130Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   107035{col 34}    40536{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7909{col 34}     6795{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.249{col 34}    1.249
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.249{col 34}    1.249
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    78303{col 34}    33351
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1077{col 34}     1063

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03179{col 33} .01136{col 43}-2.7975{col 52}0.005{col 60}-.054056{col 73}-.009517
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02368{col 33} .01136{col 43}-2.0840{col 52}0.037{col 60}-.045948{col 73} -.00141
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02368{col 33} .01673{col 43}-1.4156{col 52}0.157{col 60}-.056463{col 73} .009105
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-120Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   107622{col 34}    39949{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8098{col 34}     6856{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.284{col 34}    1.284
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.284{col 34}    1.284
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    78742{col 34}    32912
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1079{col 34}     1055

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02894{col 33} .01106{col 43}-2.6159{col 52}0.009{col 60} -.05062{col 73}-.007256
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01291{col 33} .01106{col 43}-1.1671{col 52}0.243{col 60}-.034593{col 73} .008771
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01291{col 33} .01663{col 43}-0.7762{col 52}0.438{col 60}-.045512{col 73} .019691
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-110Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108210{col 34}    39361{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8187{col 34}     6973{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.309{col 34}    1.309
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.309{col 34}    1.309
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    79192{col 34}    32462
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1079{col 34}     1043

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03768{col 33} .01092{col 43}-3.4521{col 52}0.001{col 60}-.059073{col 73}-.016286
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00918{col 33} .01092{col 43}-0.8410{col 52}0.400{col 60}-.030573{col 73} .012213
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00918{col 33} .01631{col 43}-0.5630{col 52}0.573{col 60}-.041141{col 73} .022781
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-100Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108812{col 34}    38759{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8355{col 34}     7035{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.342{col 34}    1.342
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.342{col 34}    1.342
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    79640{col 34}    32014
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1081{col 34}     1024

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03159{col 33} .01078{col 43}-2.9297{col 52}0.003{col 60}-.052723{col 73}-.010456
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01478{col 33} .01078{col 43}-1.3711{col 52}0.170{col 60}-.035917{col 73} .006349
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01478{col 33}  .0158{col 43}-0.9358{col 52}0.349{col 60}-.045747{col 73} .016179
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-90Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   109420{col 34}    38151{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8911{col 34}     7438{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.434{col 34}    1.434
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.434{col 34}    1.434
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    80118{col 34}    31536
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1082{col 34}     1007

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01944{col 33} .01059{col 43}-1.8357{col 52}0.066{col 60}-.040194{col 73} .001316
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00758{col 33} .01059{col 43}-0.7159{col 52}0.474{col 60}-.028335{col 73} .013174
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00758{col 33} .01617{col 43}-0.4687{col 52}0.639{col 60}-.039281{col 73}  .02412
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-80Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   110015{col 34}    37556{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9501{col 34}     7847{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.534{col 34}    1.534
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.534{col 34}    1.534
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    80580{col 34}    31074
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1084{col 34}     1016

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00558{col 33}  .0105{col 43}0.5321{col 52}0.595{col 60}-.014987{col 73} .026156
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0024{col 33}  .0105{col 43}-0.2288{col 52}0.819{col 60}-.022973{col 73}  .01817
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0024{col 33} .01562{col 43}-0.1538{col 52}0.878{col 60}-.033013{col 73} .028211
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-70Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   110590{col 34}    36981{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10491{col 34}     8605{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.697{col 34}    1.697
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.697{col 34}    1.697
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    81033{col 34}    30621
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1088{col 34}     1056

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01772{col 33} .01039{col 43}1.7048{col 52}0.088{col 60}-.002651{col 73} .038088
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00789{col 33} .01039{col 43}0.7594{col 52}0.448{col 60}-.012478{col 73} .028262
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00789{col 33} .01536{col 43}0.5136{col 52}0.608{col 60}-.022222{col 73} .038006
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-60Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   111144{col 34}    36427{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10213{col 34}     8410{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.665{col 34}    1.665
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.665{col 34}    1.665
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    81455{col 34}    30199
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1087{col 34}     1063

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00756{col 33} .01053{col 43}0.7176{col 52}0.473{col 60}-.013085{col 73}   .0282
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01513{col 33} .01053{col 43}-1.4361{col 52}0.151{col 60}-.035768{col 73} .005517
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01513{col 33} .01551{col 43}-0.9751{col 52}0.329{col 60}-.045527{col 73} .015276
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-50Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   111767{col 34}    35804{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11096{col 34}     8900{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.810{col 34}    1.810
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.810{col 34}    1.810
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    81931{col 34}    29723
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1089{col 34}     1073

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02734{col 33} .01031{col 43}2.6524{col 52}0.008{col 60} .007137{col 73} .047542
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01406{col 33} .01031{col 43}1.3640{col 52}0.173{col 60}-.006143{col 73} .034262
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01406{col 33} .01555{col 43}0.9040{col 52}0.366{col 60}-.016424{col 73} .044543
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-40Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   112330{col 34}    35241{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12343{col 34}     9761{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.015{col 34}    2.015
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.015{col 34}    2.015
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    82378{col 34}    29276
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1093{col 34}     1082

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04356{col 33} .01003{col 43}4.3428{col 52}0.000{col 60} .023902{col 73} .063222
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04443{col 33} .01003{col 43}4.4293{col 52}0.000{col 60}  .02477{col 73}  .06409
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04443{col 33} .01502{col 43}2.9586{col 52}0.003{col 60} .014997{col 73} .073864
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-30Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   112903{col 34}    34668{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12262{col 34}     9615{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.014{col 34}    2.014
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.014{col 34}    2.014
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    82840{col 34}    28814
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1093{col 34}     1083

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04634{col 33}  .0107{col 43}4.3323{col 52}0.000{col 60} .025377{col 73} .067308
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03797{col 33}  .0107{col 43}3.5492{col 52}0.000{col 60}    .017{col 73} .058932
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03797{col 33} .01616{col 43}2.3493{col 52}0.019{col 60} .006292{col 73}  .06964
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-20Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113472{col 34}    34099{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12386{col 34}     9660{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.043{col 34}    2.043
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.043{col 34}    2.043
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83315{col 34}    28339
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1093{col 34}     1088

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04359{col 33} .01111{col 43}3.9238{col 52}0.000{col 60} .021818{col 73} .065369
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03333{col 33} .01111{col 43}2.9999{col 52}0.003{col 60} .011554{col 73} .055105
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03333{col 33} .01714{col 43}1.9441{col 52}0.052{col 60}-.000271{col 73}  .06693
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-10Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13079{col 34}    10539{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.208{col 34}    2.208
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.208{col 34}    2.208
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1094{col 34}     1094

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04634{col 33} .01078{col 43}4.2974{col 52}0.000{col 60} .025203{col 73} .067468
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03706{col 33} .01078{col 43}3.4374{col 52}0.001{col 60}  .01593{col 73} .058196
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03706{col 33} .01682{col 43}2.2039{col 52}0.028{col 60} .004103{col 73} .070023
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake0Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114029{col 34}    33542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11465{col 34}     9897{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.024{col 34}    2.024
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.024{col 34}    2.024
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83842{col 34}    27812
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1088{col 34}     1088

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04274{col 33} .01134{col 43}3.7696{col 52}0.000{col 60} .020519{col 73} .064966
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02055{col 33} .01134{col 43}1.8123{col 52}0.070{col 60}-.001674{col 73} .042773
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02055{col 33} .01706{col 43}1.2044{col 52}0.228{col 60}-.012892{col 73} .053991
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake10Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114566{col 34}    33005{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11462{col 34}     9864{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.041{col 34}    2.041
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.041{col 34}    2.041
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    84292{col 34}    27362
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1084{col 34}     1093

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04255{col 33} .01147{col 43}3.7113{col 52}0.000{col 60} .020079{col 73} .065023
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02577{col 33} .01147{col 43}2.2477{col 52}0.025{col 60} .003299{col 73} .048242
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02577{col 33} .01667{col 43}1.5462{col 52}0.122{col 60}-.006896{col 73} .058437
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake20Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   115121{col 34}    32450{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11060{col 34}     9492{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.988{col 34}    1.988
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.988{col 34}    1.988
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    84749{col 34}    26905
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1081{col 34}     1093

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02345{col 33} .01177{col 43}1.9922{col 52}0.046{col 60} .000379{col 73}  .04653
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01259{col 33} .01177{col 43}-1.0693{col 52}0.285{col 60}-.035664{col 73} .010486
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01259{col 33} .01758{col 43}-0.7159{col 52}0.474{col 60}-.047053{col 73} .021875
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake30Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   115649{col 34}    31922{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10747{col 34}     9241{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.953{col 34}    1.953
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.953{col 34}    1.953
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    85182{col 34}    26472
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1077{col 34}     1090

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00868{col 33} .01208{col 43}0.7187{col 52}0.472{col 60}-.014991{col 73} .032352
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03614{col 33} .01208{col 43}-2.9921{col 52}0.003{col 60} -.05981{col 73}-.012466
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03614{col 33}   .018{col 43}-2.0082{col 52}0.045{col 60}-.071409{col 73}-.000867
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake40Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   116196{col 34}    31375{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10573{col 34}     9022{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.935{col 34}    1.935
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.935{col 34}    1.935
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    85608{col 34}    26046
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1074{col 34}     1090

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00679{col 33} .01222{col 43}0.5553{col 52}0.579{col 60}-.017165{col 73} .030735
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03803{col 33} .01222{col 43}-3.1120{col 52}0.002{col 60}-.061977{col 73}-.014078
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03803{col 33} .01835{col 43}-2.0718{col 52}0.038{col 60}-.074002{col 73}-.002053
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake50Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   116684{col 34}    30887{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10253{col 34}     8830{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.905{col 34}    1.905
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.905{col 34}    1.905
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    85998{col 34}    25656
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1070{col 34}     1091

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00638{col 33} .01235{col 43}-0.5166{col 52}0.605{col 60}-.030593{col 73}  .01783
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03411{col 33} .01235{col 43}-2.7612{col 52}0.006{col 60} -.05832{col 73}-.009898
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03411{col 33} .01884{col 43}-1.8106{col 52}0.070{col 60}-.071033{col 73} .002814
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake60Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   117194{col 34}    30377{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9887{col 34}     8525{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.853{col 34}    1.853
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.853{col 34}    1.853
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    86403{col 34}    25251
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1060{col 34}     1090

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01874{col 33}  .0125{col 43}-1.4991{col 52}0.134{col 60}-.043247{col 73} .005762
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03475{col 33}  .0125{col 43}-2.7794{col 52}0.005{col 60}-.059255{col 73}-.010245
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03475{col 33} .01879{col 43}-1.8491{col 52}0.064{col 60}-.071583{col 73} .002083
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake70Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   117688{col 34}    29883{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9825{col 34}     8444{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.863{col 34}    1.863
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.863{col 34}    1.863
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    86808{col 34}    24846
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1052{col 34}     1089

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01495{col 33} .01254{col 43}-1.1928{col 52}0.233{col 60}-.039527{col 73} .009617
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0047{col 33} .01254{col 43}-0.3746{col 52}0.708{col 60}-.029268{col 73} .019876
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0047{col 33} .01859{col 43}-0.2527{col 52}0.801{col 60}-.041127{col 73} .031734
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake80Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   118235{col 34}    29336{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9684{col 34}     8222{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.843{col 34}    1.843
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.843{col 34}    1.843
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    87247{col 34}    24407
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1034{col 34}     1089

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02033{col 33} .01283{col 43}-1.5843{col 52}0.113{col 60}-.045483{col 73} .004821
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00366{col 33} .01283{col 43}-0.2852{col 52}0.775{col 60}-.028812{col 73} .021492
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00366{col 33}   .019{col 43}-0.1927{col 52}0.847{col 60}-.040894{col 73} .033573
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake90Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   118721{col 34}    28850{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9507{col 34}     8057{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.836{col 34}    1.836
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.836{col 34}    1.836
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    87620{col 34}    24034
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1044{col 34}     1087

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02299{col 33} .01311{col 43}-1.7532{col 52}0.080{col 60}-.048682{col 73} .002711
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00862{col 33} .01311{col 43}0.6575{col 52}0.511{col 60}-.017076{col 73} .034317
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00862{col 33} .01891{col 43}0.4560{col 52}0.648{col 60}-.028435{col 73} .045675
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake100Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   119214{col 34}    28357{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9299{col 34}     7866{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.815{col 34}    1.815
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.815{col 34}    1.815
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    88013{col 34}    23641
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1057{col 34}     1090

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01218{col 33} .01328{col 43}-0.9173{col 52}0.359{col 60}-.038214{col 73} .013849
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03148{col 33} .01328{col 43}2.3705{col 52}0.018{col 60} .005452{col 73} .057515
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03148{col 33} .01892{col 43}1.6639{col 52}0.096{col 60}-.005603{col 73}  .06857
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake110Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   119700{col 34}    27871{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9199{col 34}     7776{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.817{col 34}    1.817
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.817{col 34}    1.817
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    88400{col 34}    23254
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1065{col 34}     1092

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02213{col 33} .01358{col 43}-1.6294{col 52}0.103{col 60} -.04875{col 73}  .00449
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02269{col 33} .01358{col 43}1.6709{col 52}0.095{col 60}-.003926{col 73} .049315
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02269{col 33} .01952{col 43}1.1625{col 52}0.245{col 60}-.015569{col 73} .060958
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake120Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   120154{col 34}    27417{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8781{col 34}     7489{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.766{col 34}    1.766
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.766{col 34}    1.766
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    88764{col 34}    22890
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1071{col 34}     1092

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0285{col 33} .01369{col 43}-2.0811{col 52}0.037{col 60}-.055333{col 73}-.001658
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01484{col 33} .01369{col 43}1.0837{col 52}0.279{col 60}-.011999{col 73} .041676
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01484{col 33} .01985{col 43}0.7474{col 52}0.455{col 60}-.024076{col 73} .053753
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake130Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   120625{col 34}    26946{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8564{col 34}     7348{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.747{col 34}    1.747
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.747{col 34}    1.747
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    89153{col 34}    22501
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1073{col 34}     1092

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02428{col 33} .01369{col 43}-1.7741{col 52}0.076{col 60}-.051102{col 73} .002543
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00455{col 33} .01369{col 43}-0.3328{col 52}0.739{col 60}-.031377{col 73} .022268
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00455{col 33} .02013{col 43}-0.2262{col 52}0.821{col 60}-.044014{col 73} .034905
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake140Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   121053{col 34}    26518{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8875{col 34}     7542{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.826{col 34}    1.826
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.826{col 34}    1.826
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    89507{col 34}    22147
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1076{col 34}     1096

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00942{col 33}  .0139{col 43}-0.6775{col 52}0.498{col 60}-.036663{col 73} .017827
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02811{col 33}  .0139{col 43}2.0223{col 52}0.043{col 60} .000866{col 73} .055356
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02811{col 33} .02009{col 43}1.3992{col 52}0.162{col 60}-.011267{col 73}  .06749
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake150Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   121543{col 34}    26028{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9062{col 34}     7566{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.874{col 34}    1.874
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.874{col 34}    1.874
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    89896{col 34}    21758
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1082{col 34}     1096

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01427{col 33} .01383{col 43}-1.0318{col 52}0.302{col 60} -.04139{col 73}  .01284
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00892{col 33} .01383{col 43}0.6445{col 52}0.519{col 60}-.018198{col 73} .036031
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00892{col 33} .02006{col 43}0.4445{col 52}0.657{col 60}-.030398{col 73} .048231
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake160Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122029{col 34}    25542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8755{col 34}     7290{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.834{col 34}    1.834
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.834{col 34}    1.834
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    90286{col 34}    21368
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1082{col 34}     1095

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0044{col 33} .01393{col 43}-0.3156{col 52}0.752{col 60}-.031693{col 73} .022902
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00476{col 33} .01393{col 43}0.3419{col 52}0.732{col 60}-.022536{col 73} .032059
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00476{col 33} .02075{col 43}0.2295{col 52}0.818{col 60}-.035904{col 73} .045428
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake170Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122463{col 34}    25108{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8710{col 34}     7049{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.794{col 34}    1.794
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.794{col 34}    1.794
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    90634{col 34}    21020
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1083{col 34}     1095

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01033{col 33} .01408{col 43}-0.7339{col 52}0.463{col 60}-.037923{col 73}  .01726
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01221{col 33} .01408{col 43}-0.8671{col 52}0.386{col 60}-.039798{col 73} .015385
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01221{col 33} .02133{col 43}-0.5724{col 52}0.567{col 60}-.054005{col 73} .029592
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake180Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122907{col 34}    24664{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8795{col 34}     6910{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.784{col 34}    1.784
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.784{col 34}    1.784
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    90994{col 34}    20660
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1085{col 34}     1096

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01664{col 33}   .014{col 43}-1.1886{col 52}0.235{col 60}-.044088{col 73} .010802
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03571{col 33}   .014{col 43}-2.5502{col 52}0.011{col 60}-.063154{col 73}-.008265
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03571{col 33} .02115{col 43}-1.6886{col 52}0.091{col 60}-.077157{col 73} .005739
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake190Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   123367{col 34}    24204{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8707{col 34}     6766{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.782{col 34}    1.782
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.782{col 34}    1.782
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    91367{col 34}    20287
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1085{col 34}     1094

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01039{col 33} .01418{col 43}-0.7327{col 52}0.464{col 60}-.038182{col 73} .017402
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05311{col 33} .01418{col 43}-3.7454{col 52}0.000{col 60}-.080902{col 73}-.025318
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05311{col 33} .02105{col 43}-2.5225{col 52}0.012{col 60}-.094377{col 73}-.011843
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake200Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   123805{col 34}    23766{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8995{col 34}     6898{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.855{col 34}    1.855
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.855{col 34}    1.855
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    91716{col 34}    19938
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1086{col 34}     1092

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00161{col 33} .01412{col 43}-0.1139{col 52}0.909{col 60}-.029288{col 73} .026072
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02195{col 33} .01412{col 43}-1.5544{col 52}0.120{col 60}-.049632{col 73} .005728
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02195{col 33} .02056{col 43}-1.0678{col 52}0.286{col 60}-.062245{col 73}  .01834
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake210Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   124258{col 34}    23313{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9137{col 34}     6880{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.900{col 34}    1.900
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.900{col 34}    1.900
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    92074{col 34}    19580
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1090{col 34}     1091

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00233{col 33} .01441{col 43}0.1620{col 52}0.871{col 60}-.025903{col 73}  .03057
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01859{col 33} .01441{col 43}-1.2907{col 52}0.197{col 60}-.046831{col 73} .009643
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01859{col 33} .02077{col 43}-0.8951{col 52}0.371{col 60}-.059307{col 73} .022119
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake220Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   124667{col 34}    22904{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9014{col 34}     6768{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.900{col 34}    1.900
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.900{col 34}    1.900
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    92395{col 34}    19259
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1089{col 34}     1090

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00025{col 33} .01459{col 43}0.0174{col 52}0.986{col 60}-.028336{col 73} .028844
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0223{col 33} .01459{col 43}-1.5290{col 52}0.126{col 60}-.050894{col 73} .006286
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0223{col 33} .02058{col 43}-1.0838{col 52}0.278{col 60}-.062637{col 73} .018029
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake230Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125083{col 34}    22488{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9265{col 34}     6848{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.964{col 34}    1.964
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.964{col 34}    1.964
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    92722{col 34}    18932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1089{col 34}     1092

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01507{col 33} .01438{col 43}1.0485{col 52}0.294{col 60}-.013104{col 73} .043252
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01605{col 33} .01438{col 43}1.1161{col 52}0.264{col 60}-.012132{col 73} .044224
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01605{col 33}  .0204{col 43}0.7866{col 52}0.432{col 60}-.023935{col 73} .056027
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake240Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125474{col 34}    22097{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9573{col 34}     6981{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.049{col 34}    2.049
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.049{col 34}    2.049
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93032{col 34}    18622
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1092{col 34}     1093

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01892{col 33} .01422{col 43}1.3310{col 52}0.183{col 60}-.008942{col 73} .046787
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03323{col 33} .01422{col 43}2.3376{col 52}0.019{col 60} .005369{col 73} .061097
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03323{col 33} .02052{col 43}1.6192{col 52}0.105{col 60}-.006993{col 73} .073459
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake250Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125890{col 34}    21681{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9580{col 34}     6915{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.074{col 34}    2.074
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.074{col 34}    2.074
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93347{col 34}    18307
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1092{col 34}     1094

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0282{col 33} .01435{col 43}1.9649{col 52}0.049{col 60} .000071{col 73}  .05633
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04653{col 33} .01435{col 43}3.2424{col 52}0.001{col 60} .018405{col 73} .074664
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04653{col 33} .02069{col 43}2.2495{col 52}0.024{col 60} .005989{col 73} .087081
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake260Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   126285{col 34}    21286{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9498{col 34}     6796{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.079{col 34}    2.079
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.079{col 34}    2.079
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93658{col 34}    17996
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1092{col 34}     1093

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02225{col 33} .01442{col 43}1.5431{col 52}0.123{col 60} -.00601{col 73} .050507
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03315{col 33} .01442{col 43}2.2993{col 52}0.021{col 60} .004892{col 73} .061409
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03315{col 33} .02106{col 43}1.5741{col 52}0.115{col 60}-.008127{col 73} .074428
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake270Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   126643{col 34}    20928{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9316{col 34}     6706{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.075{col 34}    2.075
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.075{col 34}    2.075
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93937{col 34}    17717
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1091{col 34}     1092

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01728{col 33} .01446{col 43}1.1952{col 52}0.232{col 60}-.011056{col 73} .045612
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02123{col 33} .01446{col 43}1.4684{col 52}0.142{col 60}-.007106{col 73} .049562
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02123{col 33} .02136{col 43}0.9939{col 52}0.320{col 60}-.020635{col 73} .063091
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake280Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   127014{col 34}    20557{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9386{col 34}     6672{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.113{col 34}    2.113
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.113{col 34}    2.113
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    94240{col 34}    17414
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1092{col 34}     1093

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01211{col 33} .01453{col 43}0.8335{col 52}0.405{col 60}-.016363{col 73} .040579
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0247{col 33} .01453{col 43}1.7007{col 52}0.089{col 60}-.003766{col 73} .053176
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0247{col 33} .02191{col 43}1.1273{col 52}0.260{col 60}-.018246{col 73} .067656
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake290Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   127399{col 34}    20172{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8927{col 34}     6387{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.049{col 34}    2.049
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.049{col 34}    2.049
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    94552{col 34}    17102
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1094{col 34}     1092

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00246{col 33} .01488{col 43}-0.1656{col 52}0.868{col 60} -.03163{col 73} .026702
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01135{col 33} .01488{col 43}-0.7627{col 52}0.446{col 60}-.040515{col 73} .017816
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01135{col 33} .02256{col 43}-0.5031{col 52}0.615{col 60} -.05556{col 73} .032861
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake300Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Colombia.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     4848{col 34}     7785{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      335{col 34}      580{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.840{col 34}    0.840
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.840{col 34}    0.840
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       72{col 34}       81

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02827{col 33} .01862{col 43}1.5182{col 52}0.129{col 60}-.008227{col 73} .064767
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .07114{col 33} .01862{col 43}3.8205{col 52}0.000{col 60} .034645{col 73} .107638
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .07114{col 33} .03204{col 43}2.2205{col 52}0.026{col 60} .008348{col 73} .133935
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-300Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     4901{col 34}     7732{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      414{col 34}      840{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.026{col 34}    1.026
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.026{col 34}    1.026
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       77{col 34}       83

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00705{col 33} .01983{col 43}-0.3555{col 52}0.722{col 60}-.045919{col 73}  .03182
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0099{col 33} .01983{col 43}0.4992{col 52}0.618{col 60} -.02897{col 73} .048769
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0099{col 33}   .033{col 43}0.3000{col 52}0.764{col 60}-.054781{col 73}  .07458
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-290Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     4953{col 34}     7680{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      409{col 34}      834{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.960{col 34}    0.960
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.960{col 34}    0.960
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       75{col 34}       84

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00974{col 33} .02107{col 43}-0.4620{col 52}0.644{col 60}-.051043{col 73} .031569
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01149{col 33} .02107{col 43}-0.5450{col 52}0.586{col 60}-.052793{col 73}  .02982
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01149{col 33} .03124{col 43}-0.3677{col 52}0.713{col 60}-.072719{col 73} .049746
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-280Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5019{col 34}     7614{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      486{col 34}     1055{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.088{col 34}    1.088
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.088{col 34}    1.088
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       77{col 34}       84

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00934{col 33} .02012{col 43}-0.4644{col 52}0.642{col 60}-.048772{col 73} .030088
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01408{col 33} .02012{col 43}-0.6997{col 52}0.484{col 60}-.053507{col 73} .025353
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01408{col 33} .03137{col 43}-0.4488{col 52}0.654{col 60}-.075552{col 73} .047398
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-270Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5088{col 34}     7545{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      502{col 34}     1034{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.024{col 34}    1.024
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.024{col 34}    1.024
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       79{col 34}       84

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0078{col 33} .02015{col 43}0.3873{col 52}0.699{col 60}-.031694{col 73} .047303
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} 4.5e-05{col 33} .02015{col 43}0.0022{col 52}0.998{col 60}-.039454{col 73} .039543
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} 4.5e-05{col 33} .02763{col 43}0.0016{col 52}0.999{col 60}-.054112{col 73} .054201
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-260Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5155{col 34}     7478{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      539{col 34}     1107{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.031{col 34}    1.031
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.031{col 34}    1.031
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       81{col 34}       85

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00127{col 33} .01902{col 43}-0.0665{col 52}0.947{col 60}-.038545{col 73} .036014
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0017{col 33} .01902{col 43}0.0892{col 52}0.929{col 60}-.035583{col 73} .038975
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0017{col 33} .02926{col 43}0.0580{col 52}0.954{col 60}-.055658{col 73}  .05905
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-250Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5219{col 34}     7414{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      620{col 34}     1445{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.186{col 34}    1.186
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.186{col 34}    1.186
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       83{col 34}       87

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00645{col 33} .01639{col 43}0.3936{col 52}0.694{col 60}-.025666{col 73} .038567
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01413{col 33} .01639{col 43}0.8620{col 52}0.389{col 60}-.017991{col 73} .046242
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01413{col 33} .02371{col 43}0.5958{col 52}0.551{col 60}-.032345{col 73} .060596
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-240Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5301{col 34}     7332{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      767{col 34}     2087{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.478{col 34}    1.478
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.478{col 34}    1.478
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       86{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01625{col 33} .01627{col 43}-0.9987{col 52}0.318{col 60}-.048144{col 73} .015642
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02115{col 33} .01627{col 43}-1.2995{col 52}0.194{col 60}-.053039{col 73} .010747
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02115{col 33} .02303{col 43}-0.9183{col 52}0.358{col 60}-.066279{col 73} .023987
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-230Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5389{col 34}     7244{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      794{col 34}     2047{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.402{col 34}    1.402
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.402{col 34}    1.402
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       85{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00572{col 33} .01562{col 43}0.3666{col 52}0.714{col 60}-.024885{col 73} .036335
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00645{col 33} .01562{col 43}0.4128{col 52}0.680{col 60}-.024163{col 73} .037056
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00645{col 33} .01944{col 43}0.3317{col 52}0.740{col 60}-.031646{col 73} .044539
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-220Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5488{col 34}     7145{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      902{col 34}     2447{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.527{col 34}    1.527
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.527{col 34}    1.527
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       85{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00341{col 33} .01552{col 43}-0.2195{col 52}0.826{col 60}-.033815{col 73} .027003
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00603{col 33} .01552{col 43}-0.3887{col 52}0.698{col 60} -.03644{col 73} .024378
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00603{col 33} .01893{col 43}-0.3186{col 52}0.750{col 60}-.043131{col 73}  .03107
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-210Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5594{col 34}     7039{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1018{col 34}     2776{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.654{col 34}    1.654
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.654{col 34}    1.654
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       87{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00357{col 33} .01456{col 43}-0.2451{col 52}0.806{col 60}  -.0321{col 73} .024964
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01054{col 33} .01456{col 43}0.7242{col 52}0.469{col 60} -.01799{col 73} .039074
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01054{col 33} .01931{col 43}0.5461{col 52}0.585{col 60}-.027295{col 73} .048379
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-200Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5717{col 34}     6916{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1048{col 34}     2525{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.495{col 34}    1.495
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.495{col 34}    1.495
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       87{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01188{col 33} .01472{col 43}-0.8071{col 52}0.420{col 60}-.040721{col 73} .016967
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} 2.7e-05{col 33} .01472{col 43}0.0018{col 52}0.999{col 60}-.028817{col 73} .028871
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} 2.7e-05{col 33} .01986{col 43}0.0013{col 52}0.999{col 60}-.038908{col 73} .038961
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-190Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5841{col 34}     6792{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1091{col 34}     2401{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.394{col 34}    1.394
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.394{col 34}    1.394
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00376{col 33} .01353{col 43}-0.2780{col 52}0.781{col 60}-.030271{col 73}  .02275
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02033{col 33} .01353{col 43}1.5029{col 52}0.133{col 60}-.006182{col 73} .046839
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02033{col 33} .01752{col 43}1.1604{col 52}0.246{col 60}-.014007{col 73} .054663
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-180Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5971{col 34}     6662{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1059{col 34}     2057{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.177{col 34}    1.177
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.177{col 34}    1.177
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       85{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00424{col 33} .01506{col 43}-0.2818{col 52}0.778{col 60}-.033755{col 73}  .02527
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0045{col 33} .01506{col 43}0.2989{col 52}0.765{col 60}-.025012{col 73} .034013
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0045{col 33} .02062{col 43}0.2183{col 52}0.827{col 60}-.035913{col 73} .044914
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-170Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6091{col 34}     6542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1096{col 34}     2042{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.136{col 34}    1.136
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.136{col 34}    1.136
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       84{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00587{col 33} .01476{col 43}0.3974{col 52}0.691{col 60}-.023066{col 73} .034799
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02313{col 33} .01476{col 43}1.5666{col 52}0.117{col 60}-.005807{col 73} .052057
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02313{col 33} .02094{col 43}1.1044{col 52}0.269{col 60}-.017916{col 73} .064167
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-160Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6214{col 34}     6419{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1059{col 34}     1856{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.998{col 34}    0.998
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.998{col 34}    0.998
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       85{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0082{col 33}  .0162{col 43}-0.5064{col 52}0.613{col 60}-.039957{col 73} .023548
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00264{col 33}  .0162{col 43}0.1629{col 52}0.871{col 60}-.029113{col 73} .034392
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00264{col 33} .02527{col 43}0.1045{col 52}0.917{col 60} -.04688{col 73} .052158
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-150Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6374{col 34}     6259{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1118{col 34}     1772{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.945{col 34}    0.945
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.945{col 34}    0.945
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       87{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00565{col 33} .01403{col 43}-0.4028{col 52}0.687{col 60}-.033141{col 73} .021842
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00475{col 33} .01403{col 43}0.3386{col 52}0.735{col 60}-.022742{col 73} .032241
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00475{col 33} .01997{col 43}0.2379{col 52}0.812{col 60}-.034385{col 73} .043884
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-140Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6527{col 34}     6106{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1198{col 34}     1879{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.970{col 34}    0.970
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.970{col 34}    0.970
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       87{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01059{col 33} .01442{col 43}-0.7343{col 52}0.463{col 60}-.038839{col 73} .017669
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01112{col 33} .01442{col 43}0.7716{col 52}0.440{col 60}-.017131{col 73} .039377
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01112{col 33} .02319{col 43}0.4796{col 52}0.631{col 60}-.034331{col 73} .056577
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-130Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6681{col 34}     5952{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1235{col 34}     1868{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.945{col 34}    0.945
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.945{col 34}    0.945
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       86{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02843{col 33} .01476{col 43}-1.9258{col 52}0.054{col 60}-.057356{col 73} .000504
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01926{col 33} .01476{col 43}-1.3048{col 52}0.192{col 60}-.048191{col 73}  .00967
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01926{col 33} .02289{col 43}-0.8413{col 52}0.400{col 60}-.064129{col 73} .025608
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-120Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6860{col 34}     5773{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1294{col 34}     1827{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.924{col 34}    0.924
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.924{col 34}    0.924
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       86{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02038{col 33} .01506{col 43}-1.3533{col 52}0.176{col 60}-.049908{col 73} .009139
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00652{col 33} .01506{col 43}0.4331{col 52}0.665{col 60}   -.023{col 73} .036047
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00652{col 33} .01922{col 43}0.3394{col 52}0.734{col 60} -.03115{col 73} .044197
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-110Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7040{col 34}     5593{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1327{col 34}     1776{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.903{col 34}    0.903
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.903{col 34}    0.903
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       87{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02877{col 33} .01494{col 43}-1.9250{col 52}0.054{col 60}-.058053{col 73} .000522
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00207{col 33} .01494{col 43}0.1385{col 52}0.890{col 60}-.027219{col 73} .031357
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00207{col 33} .01988{col 43}0.1040{col 52}0.917{col 60}-.036905{col 73} .041043
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-100Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7234{col 34}     5399{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1426{col 34}     1772{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.925{col 34}    0.925
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.925{col 34}    0.925
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03095{col 33} .01535{col 43}-2.0163{col 52}0.044{col 60}-.061042{col 73}-.000864
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02882{col 33} .01535{col 43}1.8772{col 52}0.060{col 60}-.001271{col 73} .058907
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02882{col 33} .02092{col 43}1.3777{col 52}0.168{col 60}-.012179{col 73} .069814
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-90Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7432{col 34}     5201{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1504{col 34}     1735{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.932{col 34}    0.932
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.932{col 34}    0.932
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0507{col 33} .01584{col 43}-3.2007{col 52}0.001{col 60}-.081745{col 73}-.019654
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00081{col 33} .01584{col 43}0.0509{col 52}0.959{col 60} -.03024{col 73} .031851
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00081{col 33} .02241{col 43}0.0360{col 52}0.971{col 60} -.04311{col 73} .044722
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-80Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7667{col 34}     4966{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1681{col 34}     1704{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.989{col 34}    0.989
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.989{col 34}    0.989
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06318{col 33}  .0177{col 43}-3.5694{col 52}0.000{col 60}-.097868{col 73}-.028486
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01276{col 33}  .0177{col 43}0.7208{col 52}0.471{col 60}-.021932{col 73} .047449
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01276{col 33} .02453{col 43}0.5200{col 52}0.603{col 60}-.035327{col 73} .060844
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-70Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7883{col 34}     4750{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1859{col 34}     1696{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.053{col 34}    1.053
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.053{col 34}    1.053
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       87

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04781{col 33}  .0198{col 43}-2.4144{col 52}0.016{col 60}-.086619{col 73}-.008999
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01573{col 33}  .0198{col 43}-0.7944{col 52}0.427{col 60}-.054541{col 73} .023079
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01573{col 33} .02529{col 43}-0.6220{col 52}0.534{col 60}-.065301{col 73}  .03384
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-60Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8073{col 34}     4560{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2002{col 34}     1663{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.115{col 34}    1.115
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.115{col 34}    1.115
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       87

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02193{col 33}  .0219{col 43}-1.0012{col 52}0.317{col 60}-.064856{col 73}    .021
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.08352{col 33}  .0219{col 43}-3.8135{col 52}0.000{col 60}-.126453{col 73}-.040597
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.08352{col 33} .02664{col 43}-3.1351{col 52}0.002{col 60}-.135741{col 73}-.031308
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-50Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8256{col 34}     4377{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2272{col 34}     1717{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.293{col 34}    1.293
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.293{col 34}    1.293
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04533{col 33} .02434{col 43}1.8625{col 52}0.063{col 60}-.002372{col 73} .093031
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05332{col 33} .02434{col 43}-2.1910{col 52}0.028{col 60}-.101026{col 73}-.005623
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05332{col 33} .02582{col 43}-2.0650{col 52}0.039{col 60}-.103936{col 73}-.002713
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-40Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8467{col 34}     4166{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2647{col 34}     1757{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.516{col 34}    1.516
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.516{col 34}    1.516
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .09366{col 33}  .0221{col 43}4.2383{col 52}0.000{col 60} .050349{col 73} .136976
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} 4.8e-05{col 33}  .0221{col 43}0.0022{col 52}0.998{col 60}-.043265{col 73} .043361
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} 4.8e-05{col 33} .03111{col 43}0.0015{col 52}0.999{col 60}-.060921{col 73} .061017
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-30Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8650{col 34}     3983{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3293{col 34}     1920{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.039{col 34}    2.039
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.039{col 34}    2.039
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .18812{col 33}  .0215{col 43}8.7480{col 52}0.000{col 60} .145971{col 73} .230265
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .07657{col 33}  .0215{col 43}3.5605{col 52}0.000{col 60} .034418{col 73} .118712
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .07657{col 33} .03304{col 43}2.3175{col 52}0.020{col 60} .011813{col 73} .141317
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-20Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8814{col 34}     3819{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3552{col 34}     1897{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.240{col 34}    2.240
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.240{col 34}    2.240
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .23067{col 33} .02259{col 43}10.2116{col 52}0.000{col 60} .186397{col 73} .274945
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .12981{col 33} .02259{col 43}5.7467{col 52}0.000{col 60}  .08554{col 73} .174088
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .12981{col 33} .03224{col 43}4.0264{col 52}0.000{col 60} .066623{col 73} .193004
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-10Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3985{col 34}     1958{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.748{col 34}    2.748
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.748{col 34}    2.748
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .26914{col 33} .02163{col 43}12.4459{col 52}0.000{col 60} .226759{col 73} .311528
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .17094{col 33} .02163{col 43}7.9049{col 52}0.000{col 60}  .12856{col 73} .213328
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .17094{col 33} .02888{col 43}5.9188{col 52}0.000{col 60} .114337{col 73} .227551
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake0Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9116{col 34}     3517{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4727{col 34}     2161{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.324{col 34}    4.324
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.324{col 34}    4.324
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .30199{col 33}  .0217{col 43}13.9138{col 52}0.000{col 60} .259446{col 73} .344524
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .2011{col 33}  .0217{col 43}9.2655{col 52}0.000{col 60} .158559{col 73} .243637
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .2011{col 33} .03058{col 43}6.5768{col 52}0.000{col 60} .141168{col 73} .261028
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake10Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9253{col 34}     3380{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4551{col 34}     1904{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.495{col 34}    3.495
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.495{col 34}    3.495
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .27692{col 33} .02436{col 43}11.3697{col 52}0.000{col 60} .229182{col 73} .324656
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .15373{col 33} .02436{col 43}6.3117{col 52}0.000{col 60} .105992{col 73} .201465
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .15373{col 33}  .0375{col 43}4.0993{col 52}0.000{col 60} .080227{col 73}  .22723
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake20Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9386{col 34}     3247{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4057{col 34}     1573{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.570{col 34}    2.570
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.570{col 34}    2.570
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .20367{col 33} .02661{col 43}7.6541{col 52}0.000{col 60} .151514{col 73}  .25582
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04815{col 33} .02661{col 43}1.8096{col 52}0.070{col 60}   -.004{col 73} .100305
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04815{col 33} .03915{col 43}1.2301{col 52}0.219{col 60}-.028572{col 73} .124876
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake30Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9525{col 34}     3108{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3872{col 34}     1413{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.359{col 34}    2.359
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.359{col 34}    2.359
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .15071{col 33} .02984{col 43}5.0514{col 52}0.000{col 60} .092235{col 73} .209189
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04103{col 33} .02984{col 43}-1.3751{col 52}0.169{col 60}-.099504{col 73}  .01745
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04103{col 33} .04518{col 43}-0.9081{col 52}0.364{col 60}-.129576{col 73} .047522
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake40Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9621{col 34}     3012{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3625{col 34}     1302{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.178{col 34}    2.178
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.178{col 34}    2.178
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11258{col 33} .02979{col 43}3.7795{col 52}0.000{col 60}   .0542{col 73} .170969
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.07631{col 33} .02979{col 43}-2.5617{col 52}0.010{col 60}-.134693{col 73}-.017925
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.07631{col 33} .04633{col 43}-1.6469{col 52}0.100{col 60}-.167123{col 73} .014504
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake50Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9719{col 34}     2914{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3467{col 34}     1202{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.073{col 34}    2.073
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.073{col 34}    2.073
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .07079{col 33} .03177{col 43}2.2285{col 52}0.026{col 60}  .00853{col 73} .133058
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  -.101{col 33} .03177{col 43}-3.1795{col 52}0.001{col 60}-.163269{col 73}-.038741
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  -.101{col 33} .05258{col 43}-1.9209{col 52}0.055{col 60}-.204065{col 73} .002055
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake60Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9809{col 34}     2824{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3413{col 34}     1136{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.085{col 34}    2.085
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.085{col 34}    2.085
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05581{col 33} .03474{col 43}1.6064{col 52}0.108{col 60}-.012283{col 73} .123912
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.08788{col 33} .03474{col 43}-2.5294{col 52}0.011{col 60}-.155978{col 73}-.019783
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.08788{col 33} .05442{col 43}-1.6150{col 52}0.106{col 60}-.194533{col 73} .018771
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake70Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9914{col 34}     2719{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3286{col 34}     1040{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.038{col 34}    2.038
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.038{col 34}    2.038
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01115{col 33} .03698{col 43}0.3015{col 52}0.763{col 60} -.06133{col 73} .083628
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.08805{col 33} .03698{col 43}-2.3810{col 52}0.017{col 60}-.160527{col 73} -.01557
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.08805{col 33} .06011{col 43}-1.4647{col 52}0.143{col 60}-.205871{col 73} .029774
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake80Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9983{col 34}     2650{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3123{col 34}      981{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.000{col 34}    2.000
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.000{col 34}    2.000
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00269{col 33} .03699{col 43}0.0728{col 52}0.942{col 60}-.069814{col 73} .075197
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01619{col 33} .03699{col 43}-0.4376{col 52}0.662{col 60}-.088695{col 73} .056316
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01619{col 33} .05864{col 43}-0.2761{col 52}0.782{col 60}-.131113{col 73} .098734
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake90Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10055{col 34}     2578{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2733{col 34}      902{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.860{col 34}    1.860
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.860{col 34}    1.860
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05847{col 33} .03859{col 43}-1.5153{col 52}0.130{col 60}-.134104{col 73} .017159
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03316{col 33} .03859{col 43}-0.8592{col 52}0.390{col 60}-.108787{col 73} .042476
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03316{col 33} .06029{col 43}-0.5499{col 52}0.582{col 60}-.151326{col 73} .085015
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake100Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10141{col 34}     2492{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2639{col 34}      842{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.870{col 34}    1.870
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.870{col 34}    1.870
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07621{col 33} .04238{col 43}-1.7981{col 52}0.072{col 60}-.159279{col 73} .006862
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01417{col 33} .04238{col 43}0.3343{col 52}0.738{col 60}-.068904{col 73} .097238
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01417{col 33} .05926{col 43}0.2391{col 52}0.811{col 60}-.101978{col 73} .130312
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake110Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10215{col 34}     2418{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2315{col 34}      775{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.790{col 34}    1.790
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.790{col 34}    1.790
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.14359{col 33} .04194{col 43}-3.4237{col 52}0.001{col 60} -.22579{col 73}-.061389
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04195{col 33} .04194{col 43}-1.0002{col 52}0.317{col 60}-.124151{col 73}  .04025
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04195{col 33} .05999{col 43}-0.6993{col 52}0.484{col 60}-.159526{col 73} .075625
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake120Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10279{col 34}     2354{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2106{col 34}      727{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.739{col 34}    1.739
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.739{col 34}    1.739
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.16423{col 33}  .0458{col 43}-3.5857{col 52}0.000{col 60}-.254006{col 73}-.074463
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05352{col 33}  .0458{col 43}-1.1686{col 52}0.243{col 60}-.143295{col 73} .036248
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05352{col 33} .05965{col 43}-0.8972{col 52}0.370{col 60}-.170442{col 73} .063395
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake130Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10337{col 34}     2296{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2033{col 34}      699{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.777{col 34}    1.777
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.777{col 34}    1.777
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.16045{col 33} .04782{col 43}-3.3552{col 52}0.001{col 60}-.254179{col 73}-.066722
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02836{col 33} .04782{col 43}-0.5930{col 52}0.553{col 60}-.122086{col 73} .065371
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02836{col 33} .06416{col 43}-0.4420{col 52}0.658{col 60}-.154101{col 73} .097386
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake140Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10380{col 34}     2253{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1803{col 34}      666{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.741{col 34}    1.741
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.741{col 34}    1.741
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.16471{col 33} .04913{col 43}-3.3525{col 52}0.001{col 60} -.26101{col 73}-.068418
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03021{col 33} .04913{col 43}-0.6150{col 52}0.539{col 60}-.126511{col 73} .066082
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03021{col 33}  .0653{col 43}-0.4627{col 52}0.644{col 60}-.158198{col 73} .097768
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake150Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10449{col 34}     2184{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1825{col 34}      643{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.814{col 34}    1.814
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.814{col 34}    1.814
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.08894{col 33} .05015{col 43}-1.7736{col 52}0.076{col 60} -.18722{col 73} .009345
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05512{col 33} .05015{col 43}1.0991{col 52}0.272{col 60}-.043166{col 73}   .1534
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05512{col 33} .06916{col 43}0.7970{col 52}0.425{col 60}-.080431{col 73} .190665
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake160Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10495{col 34}     2138{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1756{col 34}      629{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.847{col 34}    1.847
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.847{col 34}    1.847
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04132{col 33} .04985{col 43}-0.8289{col 52}0.407{col 60}-.139029{col 73} .056387
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08476{col 33} .04985{col 43}1.7003{col 52}0.089{col 60}-.012946{col 73} .182471
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08476{col 33} .07106{col 43}1.1929{col 52}0.233{col 60}-.054509{col 73} .224035
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake170Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10547{col 34}     2086{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1541{col 34}      582{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.775{col 34}    1.775
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.775{col 34}    1.775
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02023{col 33} .04855{col 43}-0.4167{col 52}0.677{col 60}-.115391{col 73} .074927
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01717{col 33} .04855{col 43}0.3537{col 52}0.724{col 60}-.077987{col 73}  .11233
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01717{col 33} .07145{col 43}0.2403{col 52}0.810{col 60}-.122859{col 73} .157202
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake180Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10599{col 34}     2034{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1540{col 34}      564{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.841{col 34}    1.841
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.841{col 34}    1.841
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02707{col 33} .05008{col 43}-0.5407{col 52}0.589{col 60}-.125226{col 73} .071076
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02806{col 33} .05008{col 43}-0.5603{col 52}0.575{col 60}-.126212{col 73}  .07009
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02806{col 33} .07196{col 43}-0.3899{col 52}0.697{col 60}-.169105{col 73} .112983
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake190Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10659{col 34}     1974{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1544{col 34}      542{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.902{col 34}    1.902
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.902{col 34}    1.902
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05938{col 33} .05365{col 43}-1.1068{col 52}0.268{col 60}-.164529{col 73} .045772
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04143{col 33} .05365{col 43}-0.7723{col 52}0.440{col 60}-.146583{col 73} .063718
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04143{col 33} .07889{col 43}-0.5252{col 52}0.599{col 60}-.196057{col 73} .113192
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake200Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10695{col 34}     1938{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1425{col 34}      516{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.889{col 34}    1.889
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.889{col 34}    1.889
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03538{col 33} .05509{col 43}-0.6422{col 52}0.521{col 60}-.143351{col 73} .072596
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.08013{col 33} .05509{col 43}-1.4545{col 52}0.146{col 60}-.188101{col 73} .027846
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.08013{col 33} .08027{col 43}-0.9983{col 52}0.318{col 60}-.237448{col 73} .077192
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake210Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10739{col 34}     1894{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1404{col 34}      494{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.934{col 34}    1.934
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.934{col 34}    1.934
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02329{col 33} .05828{col 43}-0.3996{col 52}0.689{col 60}-.137513{col 73} .090938
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02446{col 33} .05828{col 43}0.4198{col 52}0.675{col 60}-.089761{col 73} .138689
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02446{col 33} .07763{col 43}0.3152{col 52}0.753{col 60}-.127681{col 73} .176609
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake220Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10789{col 34}     1844{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1390{col 34}      465{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.987{col 34}    1.987
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.987{col 34}    1.987
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01137{col 33} .05653{col 43}-0.2011{col 52}0.841{col 60}-.122176{col 73} .099433
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02686{col 33} .05653{col 43}0.4752{col 52}0.635{col 60} -.08394{col 73} .137668
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02686{col 33} .08002{col 43}0.3357{col 52}0.737{col 60}-.129981{col 73} .183709
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake230Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10821{col 34}     1812{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1354{col 34}      457{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.039{col 34}    2.039
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.039{col 34}    2.039
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04217{col 33} .05584{col 43}0.7553{col 52}0.450{col 60}-.067265{col 73} .151608
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .1044{col 33} .05584{col 43}1.8697{col 52}0.062{col 60}-.005041{col 73} .213832
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .1044{col 33} .07931{col 43}1.3162{col 52}0.188{col 60}-.051058{col 73} .259849
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake240Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10862{col 34}     1771{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1327{col 34}      435{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.088{col 34}    2.088
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.088{col 34}    2.088
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01326{col 33} .05923{col 43}0.2238{col 52}0.823{col 60}-.102836{col 73} .129353
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05267{col 33} .05923{col 43}0.8891{col 52}0.374{col 60}-.063427{col 73} .168761
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05267{col 33} .08486{col 43}0.6206{col 52}0.535{col 60}-.113655{col 73} .218989
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake250Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10893{col 34}     1740{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1241{col 34}      416{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.075{col 34}    2.075
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.075{col 34}    2.075
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0187{col 33} .06024{col 43}0.3104{col 52}0.756{col 60}-.099371{col 73} .136773
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02638{col 33} .06024{col 43}0.4378{col 52}0.662{col 60}-.091696{col 73} .144448
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02638{col 33} .08757{col 43}0.3012{col 52}0.763{col 60} -.14526{col 73} .198011
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake260Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10929{col 34}     1704{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1247{col 34}      411{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.133{col 34}    2.133
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.133{col 34}    2.133
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02983{col 33} .06166{col 43}0.4837{col 52}0.629{col 60}-.091027{col 73} .150683
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .06959{col 33} .06166{col 43}1.1285{col 52}0.259{col 60}-.051267{col 73} .190443
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .06959{col 33} .09215{col 43}0.7551{col 52}0.450{col 60}-.111029{col 73} .250205
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake270Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10946{col 34}     1687{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1068{col 34}      394{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.033{col 34}    2.033
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.033{col 34}    2.033
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03547{col 33} .06189{col 43}0.5731{col 52}0.567{col 60}-.085834{col 73} .156774
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .06976{col 33} .06189{col 43}1.1271{col 52}0.260{col 60}-.051544{col 73} .191064
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .06976{col 33} .09154{col 43}0.7621{col 52}0.446{col 60}-.109654{col 73} .249174
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake280Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10964{col 34}     1669{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1002{col 34}      394{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.026{col 34}    2.026
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.026{col 34}    2.026
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01637{col 33} .06348{col 43}0.2578{col 52}0.797{col 60}-.108055{col 73} .140791
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0056{col 33} .06348{col 43}0.0882{col 52}0.930{col 60}-.118824{col 73} .130022
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0056{col 33} .09928{col 43}0.0564{col 52}0.955{col 60}-.188992{col 73}  .20019
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake290Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10992{col 34}     1641{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      993{col 34}      390{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.074{col 34}    2.074
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.074{col 34}    2.074
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02927{col 33} .06465{col 43}0.4528{col 52}0.651{col 60}-.097442{col 73} .155989
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01665{col 33} .06465{col 43}-0.2575{col 52}0.797{col 60}-.143363{col 73} .110068
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01665{col 33} .09855{col 43}-0.1689{col 52}0.866{col 60}-.209803{col 73} .176508
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake300Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Denmark.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    42493{col 34}   112050{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4312{col 34}     5429{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.378{col 34}    0.378
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.378{col 34}    0.378
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    21313{col 34}    66562
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      408{col 34}      421

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00373{col 33} .00743{col 43}0.5016{col 52}0.616{col 60}-.010841{col 73} .018299
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00161{col 33} .00743{col 43}-0.2172{col 52}0.828{col 60}-.016185{col 73} .012955
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00161{col 33} .01073{col 43}-0.1505{col 52}0.880{col 60}-.022646{col 73} .019416
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-300Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    43806{col 34}   110737{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4770{col 34}     6139{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.405{col 34}    0.405
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.405{col 34}    0.405
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    21893{col 34}    65982
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      412{col 34}      430

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00435{col 33} .00712{col 43}0.6115{col 52}0.541{col 60}-.009596{col 73} .018297
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00655{col 33} .00712{col 43}0.9203{col 52}0.357{col 60}-.007398{col 73} .020495
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00655{col 33} .00996{col 43}0.6576{col 52}0.511{col 60} -.01297{col 73} .026067
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-290Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    45203{col 34}   109340{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6058{col 34}     8123{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.496{col 34}    0.496
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.496{col 34}    0.496
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    22533{col 34}    65342
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      422{col 34}      433

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} 7.5e-05{col 33} .00625{col 43}0.0120{col 52}0.990{col 60}-.012168{col 73} .012318
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0001{col 33} .00625{col 43}-0.0168{col 52}0.987{col 60}-.012348{col 73} .012138
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0001{col 33} .00928{col 43}-0.0113{col 52}0.991{col 60}-.018292{col 73} .018083
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-280Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    46706{col 34}   107837{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6648{col 34}     9029{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.513{col 34}    0.513
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.513{col 34}    0.513
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    23245{col 34}    64630
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      427{col 34}      435

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00158{col 33} .00608{col 43}0.2591{col 52}0.796{col 60}-.010337{col 73} .013487
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00781{col 33} .00608{col 43}1.2847{col 52}0.199{col 60}-.004104{col 73} .019721
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00781{col 33} .00837{col 43}0.9325{col 52}0.351{col 60}-.008603{col 73}  .02422
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-270Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    48263{col 34}   106280{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6304{col 34}     8130{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.444{col 34}    0.444
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.444{col 34}    0.444
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    23979{col 34}    63896
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      426{col 34}      431

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00288{col 33} .00592{col 43}-0.4866{col 52}0.627{col 60}-.014474{col 73} .008717
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00973{col 33} .00592{col 43}1.6439{col 52}0.100{col 60} -.00187{col 73} .021321
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00973{col 33} .00911{col 43}1.0672{col 52}0.286{col 60}-.008136{col 73} .027587
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-260Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    49858{col 34}   104685{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6114{col 34}     7749{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.404{col 34}    0.404
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.404{col 34}    0.404
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    24722{col 34}    63153
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      428{col 34}      432

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0015{col 33} .00598{col 43}-0.2504{col 52}0.802{col 60}-.013223{col 73} .010227
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0073{col 33} .00598{col 43}-1.2209{col 52}0.222{col 60}-.019029{col 73} .004421
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0073{col 33} .00855{col 43}-0.8546{col 52}0.393{col 60}-.024055{col 73} .009447
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-250Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    51587{col 34}   102956{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5589{col 34}     7001{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.347{col 34}    0.347
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.347{col 34}    0.347
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    25529{col 34}    62346
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      426{col 34}      428

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00752{col 33}  .0059{col 43}1.2738{col 52}0.203{col 60}-.004051{col 73} .019089
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01227{col 33}  .0059{col 43}2.0790{col 52}0.038{col 60} .000703{col 73} .023843
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01227{col 33} .00879{col 43}1.3964{col 52}0.163{col 60}-.004953{col 73} .029499
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-240Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    53380{col 34}   101163{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5750{col 34}     7388{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.339{col 34}    0.339
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.339{col 34}    0.339
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    26370{col 34}    61505
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      424{col 34}      432

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00591{col 33} .00639{col 43}0.9254{col 52}0.355{col 60}-.006609{col 73} .018432
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0031{col 33} .00639{col 43}0.4850{col 52}0.628{col 60}-.009422{col 73} .015618
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0031{col 33}  .0096{col 43}0.3229{col 52}0.747{col 60}-.015709{col 73} .021905
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-230Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    55498{col 34}    99045{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5681{col 34}     6931{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.304{col 34}    0.304
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.304{col 34}    0.304
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    27371{col 34}    60504
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      425{col 34}      428

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00054{col 33} .00664{col 43}0.0806{col 52}0.936{col 60}-.012482{col 73} .013553
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00283{col 33} .00664{col 43}0.4259{col 52}0.670{col 60}-.010189{col 73} .015847
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00283{col 33} .00989{col 43}0.2860{col 52}0.775{col 60}-.016555{col 73} .022212
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-220Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    57531{col 34}    97012{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5911{col 34}     7255{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.298{col 34}    0.298
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.298{col 34}    0.298
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    28355{col 34}    59520
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      423{col 34}      431

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00175{col 33} .00653{col 43}-0.2679{col 52}0.789{col 60}-.014538{col 73} .011042
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00442{col 33} .00653{col 43}0.6776{col 52}0.498{col 60}-.008368{col 73} .017212
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00442{col 33} .00924{col 43}0.4785{col 52}0.632{col 60}-.013691{col 73} .022535
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-210Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    59815{col 34}    94728{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6310{col 34}     7538{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.294{col 34}    0.294
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.294{col 34}    0.294
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    29471{col 34}    58404
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      428{col 34}      432

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00575{col 33} .00639{col 43}0.8997{col 52}0.368{col 60} -.00678{col 73} .018287
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00383{col 33} .00639{col 43}0.5996{col 52}0.549{col 60}  -.0087{col 73} .016368
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00383{col 33} .00928{col 43}0.4131{col 52}0.680{col 60}-.014358{col 73} .022027
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-200Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    62342{col 34}    92201{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6345{col 34}     7398{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.275{col 34}    0.275
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.275{col 34}    0.275
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    30656{col 34}    57219
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      428{col 34}      426

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00201{col 33} .00622{col 43}0.3230{col 52}0.747{col 60}-.010185{col 73} .014205
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01677{col 33} .00622{col 43}2.6958{col 52}0.007{col 60} .004578{col 73} .028968
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01677{col 33} .00907{col 43}1.8491{col 52}0.064{col 60}-.001006{col 73} .034553
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-190Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    64821{col 34}    89722{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6937{col 34}     8107{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.283{col 34}    0.283
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.283{col 34}    0.283
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    31914{col 34}    55961
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      430{col 34}      432

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01008{col 33} .00631{col 43}-1.5964{col 52}0.110{col 60}-.022451{col 73} .002295
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0146{col 33} .00631{col 43}-2.3133{col 52}0.021{col 60}-.026977{col 73}-.002231
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0146{col 33} .00865{col 43}-1.6887{col 52}0.091{col 60}-.031553{col 73} .002345
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-180Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    67525{col 34}    87018{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7200{col 34}     8310{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.280{col 34}    0.280
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.280{col 34}    0.280
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    33283{col 34}    54592
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      429{col 34}      431

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00231{col 33} .00619{col 43}0.3739{col 52}0.708{col 60}-.009811{col 73} .014437
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00186{col 33} .00619{col 43}0.3010{col 52}0.763{col 60}-.010262{col 73} .013987
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00186{col 33}  .0086{col 43}0.2166{col 52}0.829{col 60}-.014988{col 73} .018713
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-170Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    70501{col 34}    84042{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8548{col 34}     9413{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.315{col 34}    0.315
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.315{col 34}    0.315
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    34770{col 34}    53105
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      431{col 34}      437

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00095{col 33} .00675{col 43}0.1414{col 52}0.888{col 60}-.012271{col 73}  .01418
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00382{col 33} .00675{col 43}-0.5665{col 52}0.571{col 60}-.017048{col 73} .009403
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00382{col 33} .00941{col 43}-0.4063{col 52}0.684{col 60} -.02226{col 73} .014615
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-160Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    73450{col 34}    81093{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9507{col 34}    10239{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.336{col 34}    0.336
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.336{col 34}    0.336
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    36275{col 34}    51600
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      434{col 34}      436

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00532{col 33} .00619{col 43}-0.8597{col 52}0.390{col 60}-.017453{col 73} .006811
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00149{col 33} .00619{col 43}-0.2409{col 52}0.810{col 60}-.013623{col 73} .010641
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00149{col 33} .00818{col 43}-0.1823{col 52}0.855{col 60}-.017519{col 73} .014537
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-150Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    76485{col 34}    78058{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11995{col 34}    12415{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.414{col 34}    0.414
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.414{col 34}    0.414
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    37861{col 34}    50014
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      437{col 34}      440

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00647{col 33} .00627{col 43}-1.0316{col 52}0.302{col 60}-.018759{col 73} .005821
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0082{col 33} .00627{col 43}-1.3082{col 52}0.191{col 60}-.020493{col 73} .004087
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0082{col 33} .00827{col 43}-0.9923{col 52}0.321{col 60}-.024406{col 73}    .008
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-140Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    79489{col 34}    75054{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    15042{col 34}    14815{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.516{col 34}    0.516
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.516{col 34}    0.516
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    39543{col 34}    48332
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      441{col 34}      443

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00144{col 33} .00597{col 43}-0.2414{col 52}0.809{col 60}-.013133{col 73} .010253
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01587{col 33} .00597{col 43}2.6593{col 52}0.008{col 60} .004172{col 73} .027559
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01587{col 33} .00823{col 43}1.9268{col 52}0.054{col 60}-.000273{col 73} .032004
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-130Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    82555{col 34}    71988{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20804{col 34}    18581{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.723{col 34}    0.723
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.723{col 34}    0.723
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    41192{col 34}    46683
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01072{col 33} .00652{col 43}-1.6433{col 52}0.100{col 60} -.02351{col 73} .002066
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00356{col 33} .00652{col 43}0.5464{col 52}0.585{col 60}-.009223{col 73} .016353
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00356{col 33} .00782{col 43}0.4557{col 52}0.649{col 60}-.011768{col 73} .018898
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-120Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    85590{col 34}    68953{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14441{col 34}    12478{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.476{col 34}    0.476
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.476{col 34}    0.476
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    42894{col 34}    44981
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      441{col 34}      441

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00578{col 33} .00759{col 43}-0.7613{col 52}0.446{col 60}-.020646{col 73} .009095
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0151{col 33} .00759{col 43}-1.9900{col 52}0.047{col 60}-.029969{col 73}-.000228
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0151{col 33} .00914{col 43}-1.6527{col 52}0.098{col 60}-.033003{col 73} .002807
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-110Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    88484{col 34}    66059{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13758{col 34}    11304{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.458{col 34}    0.458
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.458{col 34}    0.458
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    44568{col 34}    43307
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      441

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00138{col 33} .00914{col 43}0.1509{col 52}0.880{col 60}-.016534{col 73} .019293
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00706{col 33} .00914{col 43}0.7727{col 52}0.440{col 60}-.010852{col 73} .024976
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00706{col 33} .01033{col 43}0.6839{col 52}0.494{col 60}-.013177{col 73} .027301
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-100Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    91260{col 34}    63283{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13671{col 34}    10679{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.462{col 34}    0.462
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.462{col 34}    0.462
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    46197{col 34}    41678
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      440{col 34}      443

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00415{col 33} .01127{col 43}0.3687{col 52}0.712{col 60}-.017926{col 73} .026234
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01677{col 33} .01127{col 43}1.4890{col 52}0.136{col 60}-.005306{col 73} .038854
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01677{col 33} .01307{col 43}1.2832{col 52}0.199{col 60}-.008846{col 73} .042394
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-90Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    93853{col 34}    60690{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12752{col 34}     9672{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.449{col 34}    0.449
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.449{col 34}    0.449
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    47738{col 34}    40137
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      439

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01218{col 33} .01239{col 43}-0.9830{col 52}0.326{col 60}-.036471{col 73} .012107
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03483{col 33} .01239{col 43}-2.8103{col 52}0.005{col 60}-.059116{col 73}-.010538
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03483{col 33} .01626{col 43}-2.1417{col 52}0.032{col 60}-.066699{col 73}-.002955
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-80Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    96344{col 34}    58199{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12729{col 34}     9156{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.467{col 34}    0.467
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.467{col 34}    0.467
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    49250{col 34}    38625
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      441{col 34}      440

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00807{col 33} .01279{col 43}0.6308{col 52}0.528{col 60}-.016999{col 73} .033135
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00311{col 33} .01279{col 43}0.2435{col 52}0.808{col 60}-.021952{col 73} .028182
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00311{col 33} .01532{col 43}0.2033{col 52}0.839{col 60}-.026917{col 73} .033146
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-70Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    98551{col 34}    55992{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12680{col 34}     8912{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.490{col 34}    0.490
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.490{col 34}    0.490
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    50578{col 34}    37297
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      434

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01311{col 33} .01293{col 43}1.0139{col 52}0.311{col 60} -.01223{col 73} .038441
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03701{col 33} .01293{col 43}2.8629{col 52}0.004{col 60} .011672{col 73} .062343
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03701{col 33} .01513{col 43}2.4455{col 52}0.014{col 60} .007348{col 73} .066667
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-60Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   100666{col 34}    53877{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12767{col 34}     7950{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.520{col 34}    0.520
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.520{col 34}    0.520
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    51822{col 34}    36053
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      429

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01608{col 33} .01293{col 43}-1.2434{col 52}0.214{col 60}-.041433{col 73} .009269
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00528{col 33} .01293{col 43}0.4086{col 52}0.683{col 60}-.020066{col 73} .030635
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00528{col 33} .01596{col 43}0.3311{col 52}0.741{col 60}-.025997{col 73} .036566
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-50Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   102654{col 34}    51889{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11547{col 34}     6933{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.506{col 34}    0.506
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.506{col 34}    0.506
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    53022{col 34}    34853
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      422

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02249{col 33} .01271{col 43}-1.7688{col 52}0.077{col 60}-.047405{col 73}  .00243
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03633{col 33} .01271{col 43}-2.8579{col 52}0.004{col 60} -.06125{col 73}-.011416
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03633{col 33} .01743{col 43}-2.0840{col 52}0.037{col 60}-.070503{col 73}-.002163
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-40Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   104400{col 34}    50143{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12072{col 34}     7288{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.561{col 34}    0.561
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.561{col 34}    0.561
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    54096{col 34}    33779
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      404

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00072{col 33} .01229{col 43}0.0586{col 52}0.953{col 60}-.023362{col 73} .024803
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03655{col 33} .01229{col 43}-2.9748{col 52}0.003{col 60}-.060634{col 73} -.01247
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03655{col 33} .01848{col 43}-1.9778{col 52}0.048{col 60}-.072774{col 73} -.00033
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-30Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   106034{col 34}    48509{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12702{col 34}     7777{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.621{col 34}    0.621
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.621{col 34}    0.621
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    55140{col 34}    32735
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      425

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03721{col 33} .01289{col 43}2.8861{col 52}0.004{col 60} .011942{col 73} .062488
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01323{col 33} .01289{col 43}1.0261{col 52}0.305{col 60}-.012042{col 73} .038504
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01323{col 33} .01818{col 43}0.7277{col 52}0.467{col 60}-.022404{col 73} .048866
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-20Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   107630{col 34}    46913{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13016{col 34}     8044{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.671{col 34}    0.671
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.671{col 34}    0.671
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56196{col 34}    31679
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      436

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05205{col 33} .01355{col 43}3.8417{col 52}0.000{col 60} .025496{col 73} .078609
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02783{col 33} .01355{col 43}2.0539{col 52}0.040{col 60} .001273{col 73} .054386
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02783{col 33} .02082{col 43}1.3367{col 52}0.181{col 60}-.012977{col 73} .068636
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-10Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11826{col 34}     8524{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.684{col 34}    0.684
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.684{col 34}    0.684
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      440{col 34}      440

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05613{col 33}  .0143{col 43}3.9243{col 52}0.000{col 60} .028094{col 73} .084158
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00992{col 33}  .0143{col 43}-0.6934{col 52}0.488{col 60}-.037949{col 73} .018115
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00992{col 33} .02495{col 43}-0.3975{col 52}0.691{col 60}-.058809{col 73} .038975
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake0Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   109477{col 34}    45066{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11283{col 34}     9194{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.719{col 34}    0.719
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.719{col 34}    0.719
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    57656{col 34}    30219
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      435{col 34}      443

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02767{col 33}  .0134{col 43}2.0645{col 52}0.039{col 60} .001402{col 73} .053944
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02478{col 33}  .0134{col 43}-1.8484{col 52}0.065{col 60}-.051047{col 73} .001495
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02478{col 33} .02066{col 43}-1.1991{col 52}0.231{col 60}-.065274{col 73} .015722
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake10Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   110873{col 34}    43670{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14361{col 34}    10826{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.893{col 34}    0.893
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.893{col 34}    0.893
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    58622{col 34}    29253
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      440{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0222{col 33} .01314{col 43}1.6895{col 52}0.091{col 60}-.003553{col 73} .047949
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01095{col 33} .01314{col 43}-0.8338{col 52}0.404{col 60}-.036705{col 73} .014797
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01095{col 33} .01835{col 43}-0.5969{col 52}0.551{col 60}-.046923{col 73} .025014
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake20Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   112241{col 34}    42302{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11355{col 34}     9437{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.790{col 34}    0.790
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.790{col 34}    0.790
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    59497{col 34}    28378
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      427{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00894{col 33} .01451{col 43}-0.6163{col 52}0.538{col 60}-.037372{col 73} .019493
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01639{col 33} .01451{col 43}-1.1301{col 52}0.258{col 60}-.044826{col 73} .012038
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01639{col 33} .01987{col 43}-0.8249{col 52}0.409{col 60}-.055347{col 73} .022559
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake30Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113524{col 34}    41019{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9157{col 34}     8257{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.702{col 34}    0.702
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.702{col 34}    0.702
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    60308{col 34}    27567
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      422{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03028{col 33} .01548{col 43}-1.9559{col 52}0.050{col 60}-.060621{col 73} .000062
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01183{col 33} .01548{col 43}-0.7645{col 52}0.445{col 60}-.042176{col 73} .018507
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01183{col 33} .02313{col 43}-0.5116{col 52}0.609{col 60}-.057173{col 73} .033504
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake40Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114800{col 34}    39743{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8821{col 34}     7992{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.704{col 34}    0.704
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.704{col 34}    0.704
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    61134{col 34}    26741
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      430{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02906{col 33}   .016{col 43}-1.8162{col 52}0.069{col 60}-.060412{col 73}   .0023
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01304{col 33}   .016{col 43}-0.8153{col 52}0.415{col 60}-.044399{col 73} .018313
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01304{col 33}  .0235{col 43}-0.5551{col 52}0.579{col 60}-.059093{col 73} .033007
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake50Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   116071{col 34}    38472{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7807{col 34}     7220{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.652{col 34}    0.652
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.652{col 34}    0.652
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    61905{col 34}    25970
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      436{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00605{col 33} .01695{col 43}-0.3568{col 52}0.721{col 60}-.039279{col 73}  .02718
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03012{col 33} .01695{col 43}-1.7765{col 52}0.076{col 60}-.063349{col 73} .003111
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03012{col 33} .02408{col 43}-1.2506{col 52}0.211{col 60}-.077323{col 73} .017085
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake60Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   117297{col 34}    37246{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8053{col 34}     6612{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.618{col 34}    0.618
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.618{col 34}    0.618
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    62677{col 34}    25198
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      441{col 34}      443

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0266{col 33}  .0174{col 43}1.5289{col 52}0.126{col 60}  -.0075{col 73} .060706
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05035{col 33}  .0174{col 43}2.8940{col 52}0.004{col 60} .016252{col 73} .084457
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05035{col 33} .02468{col 43}2.0401{col 52}0.041{col 60} .001978{col 73} .098732
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake70Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   118448{col 34}    36095{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7582{col 34}     6201{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.601{col 34}    0.601
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.601{col 34}    0.601
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    63367{col 34}    24508
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      443

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01638{col 33} .01766{col 43}0.9273{col 52}0.354{col 60}-.018235{col 73} .050986
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04507{col 33} .01766{col 43}2.5523{col 52}0.011{col 60}  .01046{col 73} .079681
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04507{col 33}  .0271{col 43}1.6634{col 52}0.096{col 60}-.008037{col 73} .098177
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake80Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   119606{col 34}    34937{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7170{col 34}     5813{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.584{col 34}    0.584
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.584{col 34}    0.584
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    64072{col 34}    23803
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      443

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03305{col 33} .01746{col 43}-1.8924{col 52}0.058{col 60}-.067271{col 73}  .00118
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03218{col 33} .01746{col 43}-1.8430{col 52}0.065{col 60}-.066409{col 73} .002042
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03218{col 33} .02729{col 43}-1.1794{col 52}0.238{col 60}-.085668{col 73} .021301
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake90Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   120706{col 34}    33837{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7073{col 34}     5666{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.592{col 34}    0.592
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.592{col 34}    0.592
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    64757{col 34}    23118
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02878{col 33} .01804{col 43}-1.5953{col 52}0.111{col 60}-.064149{col 73} .006579
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00522{col 33} .01804{col 43}-0.2893{col 52}0.772{col 60}-.040585{col 73} .030144
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00522{col 33} .02712{col 43}-0.1925{col 52}0.847{col 60}-.058373{col 73} .047932
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake100Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   121768{col 34}    32775{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6983{col 34}     5489{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.601{col 34}    0.601
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.601{col 34}    0.601
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    65429{col 34}    22446
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      443

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01503{col 33} .01835{col 43}-0.8193{col 52}0.413{col 60}-.050989{col 73} .020926
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00546{col 33} .01835{col 43}-0.2975{col 52}0.766{col 60}-.041416{col 73}   .0305
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00546{col 33} .02632{col 43}-0.2074{col 52}0.836{col 60}-.057038{col 73} .046122
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake110Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122747{col 34}    31796{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6614{col 34}     5268{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.595{col 34}    0.595
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.595{col 34}    0.595
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    66056{col 34}    21819
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      443

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01562{col 33}  .0182{col 43}-0.8586{col 52}0.391{col 60}-.051288{col 73}  .02004
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0382{col 33}  .0182{col 43}-2.0996{col 52}0.036{col 60}-.073869{col 73}-.002541
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0382{col 33} .02679{col 43}-1.4264{col 52}0.154{col 60}-.090703{col 73} .014293
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake120Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   123757{col 34}    30786{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6893{col 34}     5278{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.635{col 34}    0.635
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.635{col 34}    0.635
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    66661{col 34}    21214
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05615{col 33} .01791{col 43}3.1354{col 52}0.002{col 60} .021049{col 73} .091247
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .07273{col 33} .01791{col 43}4.0615{col 52}0.000{col 60} .037634{col 73} .107832
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .07273{col 33} .02693{col 43}2.7007{col 52}0.007{col 60} .019948{col 73} .125517
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake130Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   124638{col 34}    29905{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6782{col 34}     5198{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.653{col 34}    0.653
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.653{col 34}    0.653
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67222{col 34}    20653
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0204{col 33} .01809{col 43}1.1273{col 52}0.260{col 60}-.015067{col 73} .055862
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02402{col 33} .01809{col 43}1.3276{col 52}0.184{col 60}-.011443{col 73} .059487
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02402{col 33} .02767{col 43}0.8680{col 52}0.385{col 60}-.030218{col 73} .078262
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake140Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125567{col 34}    28976{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6976{col 34}     5224{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.688{col 34}    0.688
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.688{col 34}    0.688
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67799{col 34}    20076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0092{col 33} .01886{col 43}0.4881{col 52}0.625{col 60}-.027755{col 73} .046163
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02885{col 33} .01886{col 43}-1.5301{col 52}0.126{col 60}-.065811{col 73} .008107
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02885{col 33} .02697{col 43}-1.0698{col 52}0.285{col 60}-.081712{col 73} .024007
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake150Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   126431{col 34}    28112{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6747{col 34}     5014{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.692{col 34}    0.692
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.692{col 34}    0.692
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    68326{col 34}    19549
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02486{col 33} .01869{col 43}-1.3303{col 52}0.183{col 60}-.061488{col 73} .011767
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04602{col 33} .01869{col 43}-2.4625{col 52}0.014{col 60}-.082646{col 73}-.009391
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04602{col 33} .02812{col 43}-1.6362{col 52}0.102{col 60}-.101141{col 73} .009105
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake160Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   127249{col 34}    27294{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6871{col 34}     5037{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.731{col 34}    0.731
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.731{col 34}    0.731
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    68806{col 34}    19069
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03081{col 33} .01861{col 43}-1.6552{col 52}0.098{col 60}-.067296{col 73} .005672
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03783{col 33} .01861{col 43}-2.0320{col 52}0.042{col 60}-.074309{col 73}-.001341
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03783{col 33} .02707{col 43}-1.3973{col 52}0.162{col 60}-.090882{col 73} .015232
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake170Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   128060{col 34}    26483{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7367{col 34}     5186{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.801{col 34}    0.801
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.801{col 34}    0.801
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    69289{col 34}    18586
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      443

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01079{col 33} .01861{col 43}-0.5796{col 52}0.562{col 60}-.047263{col 73} .025688
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00659{col 33} .01861{col 43}0.3543{col 52}0.723{col 60}-.029882{col 73} .043069
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00659{col 33} .02684{col 43}0.2457{col 52}0.806{col 60}-.046006{col 73} .059193
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake180Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   128807{col 34}    25736{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7333{col 34}     5150{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.831{col 34}    0.831
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.831{col 34}    0.831
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    69778{col 34}    18097
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00906{col 33} .01895{col 43}-0.4783{col 52}0.632{col 60}  -.0462{col 73} .028074
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00694{col 33} .01895{col 43}-0.3663{col 52}0.714{col 60}-.044078{col 73} .030196
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00694{col 33} .02811{col 43}-0.2469{col 52}0.805{col 60} -.06204{col 73} .048159
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake190Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   129465{col 34}    25078{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7641{col 34}     5337{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.894{col 34}    0.894
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.894{col 34}    0.894
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70198{col 34}    17677
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00085{col 33} .01921{col 43}-0.0444{col 52}0.965{col 60}-.038511{col 73} .036807
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01315{col 33} .01921{col 43}0.6844{col 52}0.494{col 60}-.024509{col 73} .050809
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01315{col 33} .02661{col 43}0.4942{col 52}0.621{col 60}-.039001{col 73} .065301
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake200Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   130153{col 34}    24390{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8176{col 34}     5554{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.980{col 34}    0.980
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.980{col 34}    0.980
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70642{col 34}    17233
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00563{col 33} .01815{col 43}-0.3103{col 52}0.756{col 60}-.041206{col 73} .029941
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01577{col 33} .01815{col 43}-0.8691{col 52}0.385{col 60}-.051347{col 73}   .0198
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01577{col 33} .02704{col 43}-0.5834{col 52}0.560{col 60}-.068762{col 73} .037215
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake210Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   130872{col 34}    23671{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9173{col 34}     5847{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.107{col 34}    1.107
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.107{col 34}    1.107
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71099{col 34}    16776
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00563{col 33} .01677{col 43}-0.3360{col 52}0.737{col 60}-.038502{col 73} .027233
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01835{col 33} .01677{col 43}1.0941{col 52}0.274{col 60}-.014521{col 73} .051215
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01835{col 33}  .0256{col 43}0.7166{col 52}0.474{col 60}-.031831{col 73} .068525
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake220Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   131498{col 34}    23045{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9942{col 34}     6099{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.223{col 34}    1.223
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.223{col 34}    1.223
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71492{col 34}    16383
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01984{col 33} .01686{col 43}-1.1769{col 52}0.239{col 60}-.052877{col 73} .013201
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02149{col 33} .01686{col 43}1.2746{col 52}0.202{col 60}-.011553{col 73} .054525
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02149{col 33} .02463{col 43}0.8723{col 52}0.383{col 60}-.026793{col 73} .069765
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake230Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   132091{col 34}    22452{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12538{col 34}     6924{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.504{col 34}    1.504
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.504{col 34}    1.504
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71882{col 34}    15993
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02645{col 33} .01581{col 43}-1.6728{col 52}0.094{col 60}-.057439{col 73} .004541
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00026{col 33} .01581{col 43}0.0165{col 52}0.987{col 60}-.030729{col 73} .031251
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00026{col 33}  .0227{col 43}0.0115{col 52}0.991{col 60}-.044232{col 73} .044753
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake240Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   132658{col 34}    21885{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14486{col 34}     7376{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.723{col 34}    1.723
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.723{col 34}    1.723
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72239{col 34}    15636
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01829{col 33} .01514{col 43}-1.2084{col 52}0.227{col 60}-.047967{col 73} .011377
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0196{col 33} .01514{col 43}-1.2949{col 52}0.195{col 60}-.049275{col 73} .010069
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0196{col 33} .02203{col 43}-0.8897{col 52}0.374{col 60}-.062786{col 73}  .02358
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake250Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   133240{col 34}    21303{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13324{col 34}     6947{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.674{col 34}    1.674
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.674{col 34}    1.674
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72598{col 34}    15277
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03275{col 33} .01577{col 43}-2.0770{col 52}0.038{col 60} -.06365{col 73}-.001846
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04286{col 33} .01577{col 43}-2.7182{col 52}0.007{col 60}-.073759{col 73}-.011954
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04286{col 33} .02294{col 43}-1.8684{col 52}0.062{col 60}-.087814{col 73} .002101
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake260Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   133787{col 34}    20756{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10474{col 34}     6001{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.446{col 34}    1.446
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.446{col 34}    1.446
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72967{col 34}    14908
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02979{col 33} .01699{col 43}-1.7541{col 52}0.079{col 60}-.063084{col 73} .003496
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04417{col 33} .01699{col 43}-2.6007{col 52}0.009{col 60}-.077463{col 73}-.010883
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04417{col 33} .02407{col 43}-1.8349{col 52}0.067{col 60}-.091357{col 73} .003012
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake270Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   134324{col 34}    20219{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     8637{col 34}     5261{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.287{col 34}    1.287
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.287{col 34}    1.287
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73307{col 34}    14568
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00943{col 33} .01803{col 43}-0.5229{col 52}0.601{col 60}-.044766{col 73} .025909
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01398{col 33} .01803{col 43}-0.7752{col 52}0.438{col 60}-.049315{col 73} .021361
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01398{col 33} .02611{col 43}-0.5353{col 52}0.592{col 60}-.065155{col 73} .037201
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake280Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   134826{col 34}    19717{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     7089{col 34}     4599{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.140{col 34}    1.140
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.140{col 34}    1.140
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73627{col 34}    14248
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02409{col 33} .01994{col 43}-1.2081{col 52}0.227{col 60} -.06317{col 73} .014992
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0397{col 33} .01994{col 43}-1.9911{col 52}0.046{col 60}-.078784{col 73}-.000622
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0397{col 33} .02864{col 43}-1.3862{col 52}0.166{col 60}-.095838{col 73} .016432
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake290Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   135335{col 34}    19208{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6473{col 34}     4269{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.092{col 34}    1.092
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.092{col 34}    1.092
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73943{col 34}    13932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00467{col 33} .02099{col 43}0.2225{col 52}0.824{col 60}-.036474{col 73} .045818
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01063{col 33} .02099{col 43}-0.5064{col 52}0.613{col 60}-.051776{col 73} .030516
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01063{col 33}  .0304{col 43}-0.3496{col 52}0.727{col 60}-.070222{col 73} .048962
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake300Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Finland.dta{rm}
saved
{p_end}

{com}. 
. preserve        
{txt}
{com}.         
. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}.         
. levelsof country, local(election)
{res}{txt}`"Brazil"' `"Colombia"' `"Denmark"' `"Finland"'

{com}.         foreach x of local election {c -(}
{txt}  2{com}.                 use "fake-300`x'.dta", clear
{txt}  3{com}.                 forvalues i=-290(10)300 {c -(}
{txt}  4{com}.                 append using fake`i'`x'.dta
{txt}  5{com}.                 {c )-}       
{txt}  6{com}. 
. duplicates drop cutoff parm, force
{txt}  7{com}. 
. twoway (rline min95 max95 cutoff if parm=="Conventional", plotregion(lcolor(black)) ylabel(,format(%9.2f)) lpattern(dash) lcolor(gray) xlabel(-3(1)3, format(%9.0f)) subtitle("Conventional, p = 1, CER", position(11)) legend(off) xtitle("Cutoff") ytitle(Estimated effect)  graphregion(color(white))  xline(0, lcolor(cranberry)) yline(0, lcolor(black) lwidth(vthin))) (scatter estimate cutoff if parm=="Conventional", connect(direct) lcolor(black) msymbol(none))
{txt}  8{com}. graph save "$dir/temp/fakecutoff1_`x'1b.gph", replace
{txt}  9{com}. twoway (rline min95 max95 cutoff if parm=="Robust", plotregion(lcolor(black)) ylabel(,format(%9.2f)) lpattern(dash) lcolor(gray) xlabel(-3(1)3, format(%9.0f)) subtitle("Robust, p = 1, CER", position(11)) legend(off) xtitle("Cutoff") ytitle(Estimated effect)  graphregion(color(white))  xline(0, lcolor(cranberry)) yline(0, lcolor(black) lwidth(vthin))) (scatter estimate cutoff if parm=="Robust", connect(direct) lcolor(black) msymbol(none))
{txt} 10{com}. graph save "$dir/temp/fakecutoff2_`x'1b.gph", replace
{txt} 11{com}.         {c )-}

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Brazil1b.gph} saved
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Brazil1b.gph} saved

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Colombia1b.gph} saved
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Colombia1b.gph} saved

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Denmark1b.gph} saved
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Denmark1b.gph} saved

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Finland1b.gph} saved
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Finland1b.gph} saved

{com}. restore
{txt}
{com}. 
. est clear
{txt}
{com}. 
. // p = 2, MSE-optimal bandwidths
. 
. levelsof country, local(election)
{res}{txt}`"Brazil"' `"Colombia"' `"Denmark"' `"Finland"'

{com}.                 foreach x of local election {c -(}
{txt}  2{com}.                 preserve
{txt}  3{com}.                 forvalues i=-300(10)300 {c -(}
{txt}  4{com}.                         local k = `i'/100
{txt}  5{com}.                         rdrobust electednextelection rv if rv!=0 & country=="`x'", all p(2) rho(1) c(`k') vce(cluster constituency) kernel(uniform) bwselect(mserd)
{txt}  6{com}.                         parmest, saving("fake`i'`x'.dta", replace)
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}. 
.                 forvalues i=-300(10)300 {c -(}
{txt}  9{com}. 
.                         use fake`i'`x'.dta, clear
{txt} 10{com}.                         gen cutoff =`i'/100
{txt} 11{com}.                         save, replace
{txt} 12{com}.                         sleep 500
{txt} 13{com}.                 {c )-}
{txt} 14{com}.                 restore
{txt} 15{com}.         {c )-}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   417254{col 34}   179006{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   136245{col 34}    94618{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.494{col 34}    4.494
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.494{col 34}    4.494
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   282598{col 34}   131787
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5559

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01033{col 33} .00391{col 43}-2.6439{col 52}0.008{col 60}-.017985{col 73}-.002672
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01206{col 33} .00391{col 43}3.0880{col 52}0.002{col 60} .004407{col 73} .019719
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01206{col 33} .00502{col 43}2.4050{col 52}0.016{col 60} .002232{col 73} .021894
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-300Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   419929{col 34}   176331{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   130430{col 34}    91006{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.341{col 34}    4.341
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.341{col 34}    4.341
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   284414{col 34}   129971
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5559

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0121{col 33} .00406{col 43}-2.9826{col 52}0.003{col 60}-.020044{col 73}-.004147
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00815{col 33} .00406{col 43}2.0108{col 52}0.044{col 60} .000206{col 73} .016103
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00815{col 33} .00524{col 43}1.5570{col 52}0.119{col 60}-.002111{col 73}  .01842
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-290Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   422470{col 34}   173790{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   125930{col 34}    88298{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.230{col 34}    4.230
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.230{col 34}    4.230
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   286147{col 34}   128238
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5560{col 34}     5559

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01489{col 33} .00417{col 43}-3.5669{col 52}0.000{col 60}-.023069{col 73}-.006708
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00304{col 33} .00417{col 43}0.7271{col 52}0.467{col 60}-.005146{col 73} .011216
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00304{col 33} .00539{col 43}0.5631{col 52}0.573{col 60}-.007529{col 73} .013599
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-280Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   425024{col 34}   171236{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   121274{col 34}    85369{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.107{col 34}    4.107
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.107{col 34}    4.107
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   287869{col 34}   126516
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5560{col 34}     5559

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01747{col 33} .00432{col 43}-4.0399{col 52}0.000{col 60}-.025942{col 73}-.008993
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00253{col 33} .00432{col 43}-0.5850{col 52}0.559{col 60}-.011004{col 73} .005945
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00253{col 33} .00558{col 43}-0.4530{col 52}0.651{col 60}-.013473{col 73} .008414
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-270Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   427590{col 34}   168670{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   118619{col 34}    83486{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.049{col 34}    4.049
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.049{col 34}    4.049
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   289607{col 34}   124778
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5560{col 34}     5559

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02073{col 33} .00443{col 43}-4.6784{col 52}0.000{col 60}-.029419{col 73}-.012047
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0069{col 33} .00443{col 43}-1.5573{col 52}0.119{col 60}-.015587{col 73} .001784
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0069{col 33} .00572{col 43}-1.2074{col 52}0.227{col 60}-.018104{col 73} .004301
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-260Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   429942{col 34}   166318{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   116754{col 34}    82272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.015{col 34}    4.015
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.015{col 34}    4.015
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   291259{col 34}   123126
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5559{col 34}     5558

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02043{col 33} .00458{col 43}-4.4566{col 52}0.000{col 60}-.029414{col 73}-.011445
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00589{col 33} .00458{col 43}-1.2844{col 52}0.199{col 60}-.014873{col 73} .003097
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00589{col 33} .00585{col 43}-1.0064{col 52}0.314{col 60}-.017355{col 73} .005579
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-250Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   432367{col 34}   163893{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   115675{col 34}    81425{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.008{col 34}    4.008
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.008{col 34}    4.008
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   292951{col 34}   121434
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5558

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02008{col 33} .00468{col 43}-4.2901{col 52}0.000{col 60}-.029256{col 73}-.010907
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00348{col 33} .00468{col 43}-0.7429{col 52}0.458{col 60}-.012652{col 73} .005697
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00348{col 33} .00591{col 43}-0.5883{col 52}0.556{col 60}-.015064{col 73} .008109
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-240Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   434827{col 34}   161433{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   116644{col 34}    81390{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.062{col 34}    4.062
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.062{col 34}    4.062
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   294623{col 34}   119762
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5559{col 34}     5557

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01577{col 33}  .0048{col 43}-3.2827{col 52}0.001{col 60}-.025178{col 73}-.006352
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00104{col 33}  .0048{col 43}-0.2164{col 52}0.829{col 60}-.010452{col 73} .008374
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00104{col 33} .00605{col 43}-0.1716{col 52}0.864{col 60}-.012906{col 73} .010828
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-230Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   437158{col 34}   159102{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   117963{col 34}    81831{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.129{col 34}    4.129
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.129{col 34}    4.129
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   296222{col 34}   118163
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5559{col 34}     5555

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01186{col 33} .00487{col 43}-2.4342{col 52}0.015{col 60}-.021409{col 73}-.002311
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00077{col 33} .00487{col 43}0.1587{col 52}0.874{col 60}-.008776{col 73} .010322
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00077{col 33} .00615{col 43}0.1258{col 52}0.900{col 60}-.011276{col 73} .012822
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-220Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   439473{col 34}   156787{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   117270{col 34}    81170{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.135{col 34}    4.135
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.135{col 34}    4.135
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   297810{col 34}   116575
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5559{col 34}     5550

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01347{col 33} .00497{col 43}-2.7089{col 52}0.007{col 60}-.023221{col 73}-.003725
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00786{col 33} .00497{col 43}-1.5799{col 52}0.114{col 60}-.017606{col 73} .001891
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00786{col 33} .00626{col 43}-1.2551{col 52}0.209{col 60}-.020128{col 73} .004413
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-210Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   441746{col 34}   154514{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   117700{col 34}    81129{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.178{col 34}    4.178
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.178{col 34}    4.178
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   299412{col 34}   114973
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5553

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01475{col 33} .00507{col 43}-2.9085{col 52}0.004{col 60}-.024695{col 73}-.004811
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01371{col 33} .00507{col 43}-2.7021{col 52}0.007{col 60}-.023649{col 73}-.003765
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01371{col 33} .00638{col 43}-2.1476{col 52}0.032{col 60}-.026216{col 73}-.001198
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-200Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   444204{col 34}   152056{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   119946{col 34}    81465{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.271{col 34}    4.271
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.271{col 34}    4.271
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   301070{col 34}   113315
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5556

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01188{col 33} .00516{col 43}-2.3014{col 52}0.021{col 60}-.021992{col 73}-.001762
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  -.017{col 33} .00516{col 43}-3.2945{col 52}0.001{col 60}-.027117{col 73}-.006887
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  -.017{col 33} .00646{col 43}-2.6332{col 52}0.008{col 60}-.029657{col 73}-.004347
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-190Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   446600{col 34}   149660{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   122995{col 34}    82174{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.391{col 34}    4.391
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.391{col 34}    4.391
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   302667{col 34}   111718
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5558

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00904{col 33} .00523{col 43}-1.7285{col 52}0.084{col 60}-.019294{col 73} .001211
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01762{col 33} .00523{col 43}-3.3679{col 52}0.001{col 60}-.027869{col 73}-.007365
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01762{col 33} .00656{col 43}-2.6855{col 52}0.007{col 60}-.030474{col 73} -.00476
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-180Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   449030{col 34}   147230{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   126781{col 34}    83180{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.534{col 34}    4.534
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.534{col 34}    4.534
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   304324{col 34}   110061
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5558

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00421{col 33} .00517{col 43}-0.8153{col 52}0.415{col 60}-.014339{col 73} .005914
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01356{col 33} .00517{col 43}-2.6253{col 52}0.009{col 60}-.023691{col 73}-.003437
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01356{col 33} .00668{col 43}-2.0316{col 52}0.042{col 60} -.02665{col 73}-.000478
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-170Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   451305{col 34}   144955{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   128200{col 34}    83188{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.606{col 34}    4.606
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.606{col 34}    4.606
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   305923{col 34}   108462
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5558

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00153{col 33} .00522{col 43}-0.2937{col 52}0.769{col 60}-.011758{col 73} .008694
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01528{col 33} .00522{col 43}-2.9292{col 52}0.003{col 60}-.025509{col 73}-.005057
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01528{col 33} .00677{col 43}-2.2584{col 52}0.024{col 60}-.028546{col 73}-.002019
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-160Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   453634{col 34}   142626{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   128389{col 34}    82586{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.642{col 34}    4.642
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.642{col 34}    4.642
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   307533{col 34}   106852
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5559

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00234{col 33} .00528{col 43}0.4433{col 52}0.658{col 60}-.008002{col 73}  .01268
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01293{col 33} .00528{col 43}-2.4513{col 52}0.014{col 60}-.023274{col 73}-.002592
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01293{col 33} .00687{col 43}-1.8823{col 52}0.060{col 60}-.026401{col 73} .000534
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-150Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   455997{col 34}   140263{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   130734{col 34}    82690{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.742{col 34}    4.742
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.742{col 34}    4.742
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   309168{col 34}   105217
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5559

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00711{col 33} .00529{col 43}1.3456{col 52}0.178{col 60}-.003248{col 73} .017475
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00945{col 33} .00529{col 43}-1.7872{col 52}0.074{col 60}-.019809{col 73} .000913
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00945{col 33} .00688{col 43}-1.3736{col 52}0.170{col 60}-.022929{col 73} .004033
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-140Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   458277{col 34}   137983{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   128013{col 34}    80902{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.682{col 34}    4.682
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.682{col 34}    4.682
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   310746{col 34}   103639
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5559

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01232{col 33} .00538{col 43}2.2918{col 52}0.022{col 60} .001784{col 73} .022857
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00384{col 33} .00538{col 43}-0.7137{col 52}0.475{col 60}-.014373{col 73} .006699
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00384{col 33} .00701{col 43}-0.5475{col 52}0.584{col 60}-.017572{col 73} .009899
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-130Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   460455{col 34}   135805{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   126515{col 34}    79729{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.669{col 34}    4.669
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.669{col 34}    4.669
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   312256{col 34}   102129
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5559

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01625{col 33} .00544{col 43}2.9854{col 52}0.003{col 60} .005581{col 73} .026914
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00205{col 33} .00544{col 43}0.3774{col 52}0.706{col 60}-.008613{col 73}  .01272
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00205{col 33} .00712{col 43}0.2883{col 52}0.773{col 60}-.011908{col 73} .016015
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-120Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   462704{col 34}   133556{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   124032{col 34}    78105{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.623{col 34}    4.623
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.623{col 34}    4.623
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   313770{col 34}   100615
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5559

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01805{col 33} .00554{col 43}3.2569{col 52}0.001{col 60} .007187{col 73} .028911
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00221{col 33} .00554{col 43}0.3990{col 52}0.690{col 60} -.00865{col 73} .013073
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00221{col 33} .00726{col 43}0.3044{col 52}0.761{col 60}-.012026{col 73} .016449
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-110Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   464822{col 34}   131438{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   124151{col 34}    77487{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.660{col 34}    4.660
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.660{col 34}    4.660
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   315242{col 34}    99143
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5560

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02208{col 33} .00559{col 43}3.9527{col 52}0.000{col 60} .011131{col 73} .033025
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00595{col 33} .00559{col 43}1.0648{col 52}0.287{col 60}   -.005{col 73} .016895
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00595{col 33} .00735{col 43}0.8093{col 52}0.418{col 60}-.008456{col 73} .020351
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-100Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   466962{col 34}   129298{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   118560{col 34}    74807{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.513{col 34}    4.513
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.513{col 34}    4.513
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   316702{col 34}    97683
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5560

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0212{col 33} .00578{col 43}3.6681{col 52}0.000{col 60} .009872{col 73} .032527
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00591{col 33} .00578{col 43}1.0228{col 52}0.306{col 60}-.005416{col 73} .017238
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00591{col 33} .00755{col 43}0.7833{col 52}0.433{col 60}-.008879{col 73} .020701
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-90Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   469107{col 34}   127153{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   121322{col 34}    75074{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.634{col 34}    4.634
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.634{col 34}    4.634
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   318169{col 34}    96216
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5560

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02684{col 33} .00578{col 43}4.6409{col 52}0.000{col 60} .015503{col 73} .038171
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01234{col 33} .00578{col 43}2.1347{col 52}0.033{col 60} .001011{col 73} .023678
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01234{col 33} .00756{col 43}1.6335{col 52}0.102{col 60}-.002467{col 73} .027156
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-80Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   471184{col 34}   125076{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   119541{col 34}    73886{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.611{col 34}    4.611
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.611{col 34}    4.611
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   319643{col 34}    94742
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5560

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02165{col 33} .00583{col 43}3.7165{col 52}0.000{col 60} .010235{col 73} .033075
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}   .004{col 33} .00583{col 43}0.6857{col 52}0.493{col 60}-.007425{col 73} .015415
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}   .004{col 33} .00755{col 43}0.5292{col 52}0.597{col 60}-.010803{col 73} .018793
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-70Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   473355{col 34}   122905{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   117404{col 34}    72400{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.577{col 34}    4.577
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.577{col 34}    4.577
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   321154{col 34}    93231
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5560

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02754{col 33} .00594{col 43}4.6333{col 52}0.000{col 60} .015891{col 73} .039193
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01566{col 33} .00594{col 43}2.6343{col 52}0.008{col 60} .004009{col 73}  .02731
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01566{col 33} .00773{col 43}2.0269{col 52}0.043{col 60} .000517{col 73} .030801
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-60Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   475449{col 34}   120811{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   122673{col 34}    73439{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.775{col 34}    4.775
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.775{col 34}    4.775
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   322586{col 34}    91799
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5561

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0322{col 33} .00592{col 43}5.4393{col 52}0.000{col 60} .020597{col 73} .043802
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02643{col 33} .00592{col 43}4.4643{col 52}0.000{col 60} .014825{col 73}  .03803
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02643{col 33} .00773{col 43}3.4170{col 52}0.001{col 60} .011269{col 73} .041586
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-50Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   477537{col 34}   118723{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   126846{col 34}    73997{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.940{col 34}    4.940
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.940{col 34}    4.940
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   324054{col 34}    90331
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0328{col 33} .00593{col 43}5.5361{col 52}0.000{col 60}  .02119{col 73} .044417
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03282{col 33} .00593{col 43}5.5390{col 52}0.000{col 60} .021207{col 73} .044434
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03282{col 33} .00775{col 43}4.2344{col 52}0.000{col 60} .017629{col 73} .048012
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-40Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   479583{col 34}   116677{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   130735{col 34}    74346{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.098{col 34}    5.098
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.098{col 34}    5.098
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   325497{col 34}    88888
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02942{col 33} .00592{col 43}4.9713{col 52}0.000{col 60}  .01782{col 73} .041016
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0301{col 33} .00592{col 43}5.0863{col 52}0.000{col 60}   .0185{col 73} .041697
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0301{col 33} .00778{col 43}3.8670{col 52}0.000{col 60} .014843{col 73} .045354
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-30Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   481621{col 34}   114639{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   125607{col 34}    72104{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.974{col 34}    4.974
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.974{col 34}    4.974
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   326948{col 34}    87437
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01834{col 33}  .0061{col 43}3.0076{col 52}0.003{col 60}  .00639{col 73} .030299
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01606{col 33}  .0061{col 43}2.6332{col 52}0.008{col 60} .004106{col 73} .028016
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01606{col 33} .00809{col 43}1.9844{col 52}0.047{col 60} .000198{col 73} .031924
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-20Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   483631{col 34}   112629{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   117576{col 34}    68871{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.744{col 34}    4.744
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.744{col 34}    4.744
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   328447{col 34}    85938
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00109{col 33} .00631{col 43}0.1729{col 52}0.863{col 60} -.01128{col 73} .013463
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00874{col 33} .00631{col 43}-1.3852{col 52}0.166{col 60}-.021115{col 73} .003628
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00874{col 33} .00851{col 43}-1.0278{col 52}0.304{col 60}-.025416{col 73}  .00793
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-10Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   105095{col 34}    64891{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.369{col 34}    4.369
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.369{col 34}    4.369
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5561

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02204{col 33} .00672{col 43}-3.2802{col 52}0.001{col 60}-.035207{col 73} -.00887
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03907{col 33} .00672{col 43}-5.8146{col 52}0.000{col 60}-.052235{col 73}-.025898
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03907{col 33}  .0092{col 43}-4.2449{col 52}0.000{col 60}-.057104{col 73}-.021029
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake0Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   486336{col 34}   109924{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   104518{col 34}    64806{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.401{col 34}    4.401
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.401{col 34}    4.401
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   330780{col 34}    83605
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02515{col 33} .00662{col 43}-3.8010{col 52}0.000{col 60}-.038117{col 73}-.012181
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03817{col 33} .00662{col 43}-5.7696{col 52}0.000{col 60}-.051143{col 73}-.025207
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03817{col 33} .00901{col 43}-4.2347{col 52}0.000{col 60}-.055844{col 73}-.020506
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake10Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   488275{col 34}   107985{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   109071{col 34}    65619{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.593{col 34}    4.593
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.593{col 34}    4.593
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   332243{col 34}    82142
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02571{col 33} .00651{col 43}-3.9523{col 52}0.000{col 60}-.038463{col 73}-.012962
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03466{col 33} .00651{col 43}-5.3279{col 52}0.000{col 60}-.047413{col 73}-.021911
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03466{col 33} .00884{col 43}-3.9225{col 52}0.000{col 60}-.051981{col 73}-.017343
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake20Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   490255{col 34}   106005{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   106543{col 34}    63987{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.537{col 34}    4.537
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.537{col 34}    4.537
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   333651{col 34}    80734
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03114{col 33} .00659{col 43}-4.7222{col 52}0.000{col 60}-.044065{col 73}-.018215
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03604{col 33} .00659{col 43}-5.4654{col 52}0.000{col 60}-.048966{col 73}-.023116
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03604{col 33} .00891{col 43}-4.0462{col 52}0.000{col 60}-.053499{col 73}-.018583
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake30Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   492206{col 34}   104054{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   112565{col 34}    64914{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.778{col 34}    4.778
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.778{col 34}    4.778
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   335040{col 34}    79345
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02225{col 33} .00653{col 43}-3.4053{col 52}0.001{col 60} -.03506{col 73}-.009445
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01982{col 33} .00653{col 43}-3.0335{col 52}0.002{col 60}-.032631{col 73}-.007015
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01982{col 33}  .0088{col 43}-2.2522{col 52}0.024{col 60}-.037074{col 73}-.002572
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake40Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   494096{col 34}   102164{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   117384{col 34}    65471{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.982{col 34}    4.982
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.982{col 34}    4.982
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   336371{col 34}    78014
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0233{col 33} .00646{col 43}-3.6050{col 52}0.000{col 60}-.035961{col 73} -.01063
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01769{col 33} .00646{col 43}-2.7381{col 52}0.006{col 60}-.030359{col 73}-.005028
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01769{col 33} .00873{col 43}-2.0259{col 52}0.043{col 60}-.034811{col 73}-.000576
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake50Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   495991{col 34}   100269{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   123590{col 34}    66163{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.231{col 34}    5.231
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.231{col 34}    5.231
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   337696{col 34}    76689
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02363{col 33} .00636{col 43}-3.7134{col 52}0.000{col 60}-.036102{col 73}-.011158
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01983{col 33} .00636{col 43}-3.1169{col 52}0.002{col 60}-.032306{col 73}-.007362
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01983{col 33} .00856{col 43}-2.3174{col 52}0.020{col 60}-.036608{col 73}-.003059
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake60Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   497829{col 34}    98431{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   127603{col 34}    66328{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.403{col 34}    5.403
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.403{col 34}    5.403
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   339000{col 34}    75385
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02383{col 33} .00637{col 43}-3.7427{col 52}0.000{col 60} -.03631{col 73}-.011351
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01294{col 33} .00637{col 43}-2.0319{col 52}0.042{col 60}-.025417{col 73}-.000458
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01294{col 33} .00859{col 43}-1.5054{col 52}0.132{col 60}-.029782{col 73} .003907
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake70Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   499578{col 34}    96682{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   135087{col 34}    67127{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.693{col 34}    5.693
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.693{col 34}    5.693
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   340269{col 34}    74116
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02494{col 33} .00622{col 43}-4.0117{col 52}0.000{col 60}-.037118{col 73}-.012753
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0106{col 33} .00622{col 43}-1.7047{col 52}0.088{col 60}-.022779{col 73} .001587
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0106{col 33} .00837{col 43}-1.2661{col 52}0.205{col 60}-.026999{col 73} .005807
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake80Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   501425{col 34}    94835{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   136268{col 34}    66400{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.771{col 34}    5.771
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.771{col 34}    5.771
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   341545{col 34}    72840
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02891{col 33} .00623{col 43}-4.6397{col 52}0.000{col 60} -.04113{col 73}  -.0167
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01733{col 33} .00623{col 43}-2.7800{col 52}0.005{col 60} -.02954{col 73}-.005111
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01733{col 33} .00838{col 43}-2.0681{col 52}0.039{col 60}-.033745{col 73}-.000906
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake90Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   503229{col 34}    93031{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   144702{col 34}    67031{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.091{col 34}    6.091
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.091{col 34}    6.091
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   342819{col 34}    71566
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0322{col 33} .00617{col 43}-5.2203{col 52}0.000{col 60}-.044293{col 73}-.020112
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01773{col 33} .00617{col 43}-2.8738{col 52}0.004{col 60}-.029818{col 73}-.005637
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01773{col 33} .00831{col 43}-2.1325{col 52}0.033{col 60}-.034022{col 73}-.001434
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake100Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   505005{col 34}    91255{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   134782{col 34}    64162{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.803{col 34}    5.803
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.803{col 34}    5.803
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   344062{col 34}    70323
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03609{col 33}  .0064{col 43}-5.6420{col 52}0.000{col 60} -.04863{col 73}-.023554
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02517{col 33}  .0064{col 43}-3.9343{col 52}0.000{col 60}-.037706{col 73} -.01263
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02517{col 33}  .0085{col 43}-2.9609{col 52}0.003{col 60}-.041827{col 73}-.008508
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake110Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   506825{col 34}    89435{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   146898{col 34}    65248{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.247{col 34}    6.247
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.247{col 34}    6.247
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   345321{col 34}    69064
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03112{col 33} .00622{col 43}-5.0003{col 52}0.000{col 60}-.043324{col 73}-.018924
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01209{col 33} .00622{col 43}-1.9425{col 52}0.052{col 60}-.024291{col 73} .000109
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01209{col 33} .00825{col 43}-1.4663{col 52}0.143{col 60}-.028252{col 73} .004071
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake120Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   508527{col 34}    87733{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   147787{col 34}    64408{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.318{col 34}    6.318
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.318{col 34}    6.318
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   346533{col 34}    67852
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03341{col 33} .00626{col 43}-5.3402{col 52}0.000{col 60}-.045673{col 73}-.021148
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00978{col 33} .00626{col 43}-1.5631{col 52}0.118{col 60}-.022042{col 73} .002483
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00978{col 33} .00822{col 43}-1.1895{col 52}0.234{col 60}-.025893{col 73} .006334
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake130Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   510275{col 34}    85985{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   155979{col 34}    64546{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.629{col 34}    6.629
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.629{col 34}    6.629
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   347755{col 34}    66630
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03764{col 33} .00617{col 43}-6.1034{col 52}0.000{col 60}-.049721{col 73} -.02555
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01407{col 33} .00617{col 43}-2.2816{col 52}0.023{col 60}-.026155{col 73}-.001983
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01407{col 33} .00814{col 43}-1.7278{col 52}0.084{col 60}-.030028{col 73}  .00189
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake140Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   511964{col 34}    84296{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   170787{col 34}    65358{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.144{col 34}    7.144
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.144{col 34}    7.144
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   348926{col 34}    65459
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03629{col 33} .00601{col 43}-6.0406{col 52}0.000{col 60}-.048065{col 73}-.024515
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0093{col 33} .00601{col 43}-1.5488{col 52}0.121{col 60} -.02108{col 73}  .00247
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0093{col 33} .00794{col 43}-1.1713{col 52}0.241{col 60}-.024875{col 73} .006265
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake150Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   513656{col 34}    82604{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   169106{col 34}    63989{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.136{col 34}    7.136
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.136{col 34}    7.136
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   350122{col 34}    64263
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03272{col 33} .00609{col 43}-5.3690{col 52}0.000{col 60}-.044661{col 73}-.020774
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-4.2e-05{col 33} .00609{col 43}-0.0069{col 52}0.995{col 60}-.011985{col 73} .011902
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-4.2e-05{col 33} .00799{col 43}-0.0052{col 52}0.996{col 60}-.015703{col 73} .015619
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake160Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   515238{col 34}    81022{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   165508{col 34}    62523{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.070{col 34}    7.070
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.070{col 34}    7.070
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   351247{col 34}    63138
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03641{col 33} .00618{col 43}-5.8965{col 52}0.000{col 60}-.048517{col 73} -.02431
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00419{col 33} .00618{col 43}-0.6790{col 52}0.497{col 60}-.016296{col 73} .007911
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00419{col 33} .00806{col 43}-0.5203{col 52}0.603{col 60}-.019989{col 73} .011603
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake170Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   516852{col 34}    79408{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   172999{col 34}    62340{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.356{col 34}    7.356
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.356{col 34}    7.356
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   352391{col 34}    61994
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03616{col 33} .00613{col 43}-5.8967{col 52}0.000{col 60}-.048177{col 73} -.02414
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00273{col 33} .00613{col 43}-0.4455{col 52}0.656{col 60} -.01475{col 73} .009287
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00273{col 33} .00799{col 43}-0.3420{col 52}0.732{col 60}-.018386{col 73} .012923
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake180Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   518523{col 34}    77737{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   157005{col 34}    59323{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.893{col 34}    6.893
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.893{col 34}    6.893
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   353556{col 34}    60829
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03577{col 33}  .0064{col 43}-5.5882{col 52}0.000{col 60} -.04832{col 73}-.023226
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00097{col 33}  .0064{col 43}0.1512{col 52}0.880{col 60}-.011579{col 73} .013515
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00097{col 33} .00832{col 43}0.1164{col 52}0.907{col 60}-.015336{col 73} .017272
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake190Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   520067{col 34}    76193{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   166753{col 34}    59448{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.260{col 34}    7.260
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.260{col 34}    7.260
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   354678{col 34}    59707
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03443{col 33} .00631{col 43}-5.4547{col 52}0.000{col 60}-.046798{col 73}-.022057
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00216{col 33} .00631{col 43}0.3421{col 52}0.732{col 60}-.010211{col 73} .014529
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00216{col 33} .00821{col 43}0.2631{col 52}0.792{col 60}-.013924{col 73} .018242
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake200Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   521636{col 34}    74624{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   178564{col 34}    59564{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.682{col 34}    7.682
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.682{col 34}    7.682
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   355822{col 34}    58563
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04123{col 33} .00621{col 43}-6.6367{col 52}0.000{col 60}-.053402{col 73}-.029052
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00314{col 33} .00621{col 43}-0.5062{col 52}0.613{col 60} -.01532{col 73} .009031
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00314{col 33} .00807{col 43}-0.3897{col 52}0.697{col 60}-.018961{col 73} .012672
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake210Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   523189{col 34}    73071{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   168288{col 34}    57446{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.410{col 34}    7.410
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.410{col 34}    7.410
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   356908{col 34}    57477
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03712{col 33} .00641{col 43}-5.7900{col 52}0.000{col 60}-.049687{col 73}-.024555
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00252{col 33} .00641{col 43}0.3937{col 52}0.694{col 60}-.010042{col 73}  .01509
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00252{col 33} .00833{col 43}0.3030{col 52}0.762{col 60}-.013802{col 73}  .01885
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake220Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   524629{col 34}    71631{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   144623{col 34}    53863{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.665{col 34}    6.665
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.665{col 34}    6.665
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   357947{col 34}    56438
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03507{col 33} .00675{col 43}-5.1972{col 52}0.000{col 60}-.048294{col 73}-.021844
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00095{col 33} .00675{col 43}0.1414{col 52}0.888{col 60}-.012271{col 73} .014179
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00095{col 33} .00876{col 43}0.1089{col 52}0.913{col 60}-.016222{col 73} .018131
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake230Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   526075{col 34}    70185{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   143942{col 34}    52848{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.690{col 34}    6.690
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.690{col 34}    6.690
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   358976{col 34}    55409
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03108{col 33} .00684{col 43}-4.5407{col 52}0.000{col 60}-.044497{col 73}-.017665
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00807{col 33} .00684{col 43}1.1783{col 52}0.239{col 60} -.00535{col 73} .021482
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00807{col 33} .00886{col 43}0.9101{col 52}0.363{col 60}-.009305{col 73} .025436
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake240Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   527475{col 34}    68785{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   144144{col 34}    52011{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.750{col 34}    6.750
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.750{col 34}    6.750
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   359987{col 34}    54398
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03056{col 33}  .0069{col 43}-4.4267{col 52}0.000{col 60}-.044089{col 73}-.017029
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00626{col 33}  .0069{col 43}0.9075{col 52}0.364{col 60}-.007265{col 73} .019795
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00626{col 33} .00892{col 43}0.7025{col 52}0.482{col 60}-.011215{col 73} .023745
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake250Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   528901{col 34}    67359{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   146982{col 34}    51358{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.898{col 34}    6.898
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.898{col 34}    6.898
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   360999{col 34}    53386
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5561{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03137{col 33} .00693{col 43}-4.5292{col 52}0.000{col 60}-.044948{col 73}-.017796
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00865{col 33} .00693{col 43}1.2495{col 52}0.211{col 60}-.004921{col 73} .022231
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00865{col 33} .00892{col 43}0.9707{col 52}0.332{col 60} -.00882{col 73}  .02613
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake260Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   530293{col 34}    65967{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   155476{col 34}    51420{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.247{col 34}    7.247
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.247{col 34}    7.247
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   361974{col 34}    52411
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02777{col 33} .00689{col 43}-4.0340{col 52}0.000{col 60}-.041268{col 73}-.014279
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01847{col 33} .00689{col 43}2.6825{col 52}0.007{col 60} .004975{col 73} .031963
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01847{col 33} .00886{col 43}2.0850{col 52}0.037{col 60} .001108{col 73}  .03583
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake270Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   531718{col 34}    64542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   161955{col 34}    50971{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.519{col 34}    7.519
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.519{col 34}    7.519
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   362987{col 34}    51398
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5563

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0316{col 33} .00686{col 43}-4.6051{col 52}0.000{col 60}-.045044{col 73}-.018149
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01256{col 33} .00686{col 43}1.8304{col 52}0.067{col 60}-.000889{col 73} .026006
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01256{col 33} .00874{col 43}1.4366{col 52}0.151{col 60}-.004575{col 73} .029692
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake280Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   533073{col 34}    63187{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   171437{col 34}    50774{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.889{col 34}    7.889
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.889{col 34}    7.889
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   363951{col 34}    50434
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5563

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03497{col 33} .00679{col 43}-5.1482{col 52}0.000{col 60}-.048286{col 73}-.021658
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01787{col 33} .00679{col 43}2.6307{col 52}0.009{col 60} .004556{col 73} .031185
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01787{col 33}  .0087{col 43}2.0535{col 52}0.040{col 60} .000814{col 73} .034927
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake290Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   534417{col 34}    61843{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}   182398{col 34}    50584{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.299{col 34}    8.299
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.299{col 34}    8.299
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   364917{col 34}    49468
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5562{col 34}     5563

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04099{col 33} .00671{col 43}-6.1087{col 52}0.000{col 60}-.054143{col 73}-.027839
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01191{col 33} .00671{col 43}1.7755{col 52}0.076{col 60}-.001238{col 73} .025066
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01191{col 33} .00864{col 43}1.3791{col 52}0.168{col 60}-.005018{col 73} .028845
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake300Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    95473{col 34}    52098{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    39880{col 34}    32787{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.227{col 34}    6.227
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.227{col 34}    6.227
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    69612{col 34}    42042
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1098

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02238{col 33} .00589{col 43}-3.8002{col 52}0.000{col 60}-.033915{col 73}-.010835
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00039{col 33} .00589{col 43}0.0665{col 52}0.947{col 60}-.011148{col 73} .011932
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00039{col 33}  .0075{col 43}0.0522{col 52}0.958{col 60}-.014308{col 73} .015091
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-300Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    96131{col 34}    51440{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    38997{col 34}    31867{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.056{col 34}    6.056
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.056{col 34}    6.056
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70108{col 34}    41546
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1097

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02087{col 33} .00603{col 43}-3.4608{col 52}0.001{col 60}-.032687{col 73} -.00905
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00191{col 33} .00603{col 43}0.3162{col 52}0.752{col 60}-.009912{col 73} .013725
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00191{col 33} .00775{col 43}0.2460{col 52}0.806{col 60}-.013285{col 73} .017097
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-290Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    96776{col 34}    50795{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    39683{col 34}    31955{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.164{col 34}    6.164
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.164{col 34}    6.164
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70588{col 34}    41066
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1098

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01797{col 33} .00612{col 43}-2.9344{col 52}0.003{col 60}-.029972{col 73}-.005967
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00287{col 33} .00612{col 43}0.4687{col 52}0.639{col 60}-.009133{col 73} .014873
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00287{col 33} .00785{col 43}0.3656{col 52}0.715{col 60}-.012515{col 73} .018255
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-280Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    97440{col 34}    50131{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    38495{col 34}    30881{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.944{col 34}    5.944
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.944{col 34}    5.944
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71061{col 34}    40593
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1098

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02177{col 33} .00629{col 43}-3.4592{col 52}0.001{col 60}-.034107{col 73}-.009436
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00199{col 33} .00629{col 43}-0.3157{col 52}0.752{col 60}-.014322{col 73} .010348
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00199{col 33} .00788{col 43}-0.2520{col 52}0.801{col 60}-.017439{col 73} .013465
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-270Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    98102{col 34}    49469{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    37518{col 34}    29946{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.771{col 34}    5.771
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.771{col 34}    5.771
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71543{col 34}    40111
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1097

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02192{col 33} .00647{col 43}-3.3888{col 52}0.001{col 60}-.034601{col 73}-.009243
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00664{col 33} .00647{col 43}-1.0264{col 52}0.305{col 60}-.019319{col 73} .006039
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00664{col 33} .00817{col 43}-0.8131{col 52}0.416{col 60}-.022645{col 73} .009365
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-260Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    98772{col 34}    48799{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36880{col 34}    29218{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.651{col 34}    5.651
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.651{col 34}    5.651
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72057{col 34}    39597
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1097

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  -.021{col 33} .00664{col 43}-3.1629{col 52}0.002{col 60} -.03402{col 73}-.007988
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00606{col 33} .00664{col 43}-0.9118{col 52}0.362{col 60}-.019071{col 73} .006961
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00606{col 33} .00832{col 43}-0.7279{col 52}0.467{col 60}-.022358{col 73} .010248
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-250Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    99427{col 34}    48144{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36370{col 34}    28566{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.553{col 34}    5.553
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.553{col 34}    5.553
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72545{col 34}    39109
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1097

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01872{col 33} .00679{col 43}-2.7580{col 52}0.006{col 60}-.032029{col 73}-.005418
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00509{col 33} .00679{col 43}-0.7502{col 52}0.453{col 60}-.018399{col 73} .008213
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00509{col 33}  .0086{col 43}-0.5922{col 52}0.554{col 60}-.021949{col 73} .011763
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-240Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   100081{col 34}    47490{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36030{col 34}    28008{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.482{col 34}    5.482
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.482{col 34}    5.482
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73046{col 34}    38608
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1097

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01835{col 33} .00695{col 43}-2.6408{col 52}0.008{col 60}-.031973{col 73}-.004731
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00722{col 33} .00695{col 43}-1.0382{col 52}0.299{col 60}-.020836{col 73} .006406
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00722{col 33} .00891{col 43}-0.8096{col 52}0.418{col 60}-.024683{col 73} .010252
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-230Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   100716{col 34}    46855{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36756{col 34}    28144{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.601{col 34}    5.601
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.601{col 34}    5.601
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73522{col 34}    38132
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1098

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01358{col 33} .00698{col 43}-1.9454{col 52}0.052{col 60}-.027258{col 73} .000102
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00473{col 33} .00698{col 43}-0.6772{col 52}0.498{col 60}-.018407{col 73} .008953
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00473{col 33} .00896{col 43}-0.5276{col 52}0.598{col 60}-.022285{col 73} .012832
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-220Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   101388{col 34}    46183{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    37854{col 34}    28410{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.777{col 34}    5.777
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.777{col 34}    5.777
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    74028{col 34}    37626
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00957{col 33}   .007{col 43}-1.3666{col 52}0.172{col 60}-.023301{col 73} .004156
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00103{col 33}   .007{col 43}-0.1474{col 52}0.883{col 60}-.014761{col 73} .012696
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00103{col 33} .00927{col 43}-0.1114{col 52}0.911{col 60}-.019194{col 73}  .01713
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-210Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   102052{col 34}    45519{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    38756{col 34}    28514{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.911{col 34}    5.911
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.911{col 34}    5.911
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    74519{col 34}    37135
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  -.003{col 33} .00705{col 43}-0.4258{col 52}0.670{col 60}-.016828{col 73} .010821
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0061{col 33} .00705{col 43}0.8653{col 52}0.387{col 60}-.007721{col 73} .019928
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0061{col 33} .00937{col 43}0.6516{col 52}0.515{col 60}-.012255{col 73} .024462
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-200Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   102726{col 34}    44845{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    39319{col 34}    28400{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.996{col 34}    5.996
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.996{col 34}    5.996
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    75032{col 34}    36622
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00296{col 33} .00717{col 43}-0.4132{col 52}0.679{col 60} -.01702{col 73} .011093
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00607{col 33} .00717{col 43}0.8467{col 52}0.397{col 60}-.007984{col 73} .020129
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00607{col 33} .00944{col 43}0.6430{col 52}0.520{col 60}-.012436{col 73}  .02458
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-190Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   103360{col 34}    44211{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    37466{col 34}    27049{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.668{col 34}    5.668
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.668{col 34}    5.668
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    75510{col 34}    36144
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  -.005{col 33} .00732{col 43}-0.6822{col 52}0.495{col 60}-.019349{col 73} .009357
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00441{col 33} .00732{col 43}-0.6020{col 52}0.547{col 60}-.018762{col 73} .009944
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00441{col 33} .00992{col 43}-0.4445{col 52}0.657{col 60}-.023849{col 73} .015032
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-180Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   103990{col 34}    43581{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    39759{col 34}    27887{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.048{col 34}    6.048
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.048{col 34}    6.048
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    75995{col 34}    35659
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00256{col 33} .00729{col 43}-0.3512{col 52}0.725{col 60}-.016839{col 73} .011722
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00367{col 33} .00729{col 43}-0.5038{col 52}0.614{col 60}-.017951{col 73} .010609
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00367{col 33} .00969{col 43}-0.3788{col 52}0.705{col 60}-.022666{col 73} .015324
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-170Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   104589{col 34}    42982{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    39752{col 34}    27584{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.048{col 34}    6.048
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.048{col 34}    6.048
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    76452{col 34}    35202
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00638{col 33}  .0074{col 43}-0.8622{col 52}0.389{col 60}-.020878{col 73} .008121
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01482{col 33}  .0074{col 43}-2.0037{col 52}0.045{col 60}-.029322{col 73}-.000324
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01482{col 33} .00981{col 43}-1.5109{col 52}0.131{col 60}-.034052{col 73} .004406
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-160Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   105236{col 34}    42335{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    39467{col 34}    27059{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.995{col 34}    5.995
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.995{col 34}    5.995
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    76945{col 34}    34709
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00132{col 33} .00757{col 43}-0.1745{col 52}0.862{col 60}-.016149{col 73} .013509
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01036{col 33} .00757{col 43}-1.3689{col 52}0.171{col 60}-.025187{col 73} .004472
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01036{col 33} .01011{col 43}-1.0247{col 52}0.306{col 60}-.030169{col 73} .009454
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-150Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   105825{col 34}    41746{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    39357{col 34}    26719{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.976{col 34}    5.976
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.976{col 34}    5.976
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    77383{col 34}    34271
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00049{col 33} .00775{col 43}0.0636{col 52}0.949{col 60}-.014698{col 73} .015685
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01132{col 33} .00775{col 43}-1.4606{col 52}0.144{col 60}-.026513{col 73} .003871
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01132{col 33} .01039{col 43}-1.0893{col 52}0.276{col 60}-.031691{col 73} .009049
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-140Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   106461{col 34}    41110{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    38647{col 34}    26048{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.866{col 34}    5.866
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.866{col 34}    5.866
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    77862{col 34}    33792
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00511{col 33} .00787{col 43}-0.6491{col 52}0.516{col 60}-.020522{col 73} .010311
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0253{col 33} .00787{col 43}-3.2162{col 52}0.001{col 60}-.040715{col 73}-.009882
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0253{col 33} .01064{col 43}-2.3787{col 52}0.017{col 60}-.046143{col 73}-.004454
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-130Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   107035{col 34}    40536{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    37657{col 34}    25318{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.714{col 34}    5.714
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.714{col 34}    5.714
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    78303{col 34}    33351
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01064{col 33} .00796{col 43}-1.3377{col 52}0.181{col 60}-.026234{col 73}  .00495
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03926{col 33} .00796{col 43}-4.9356{col 52}0.000{col 60}-.054856{col 73}-.023672
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03926{col 33} .01062{col 43}-3.6969{col 52}0.000{col 60} -.06008{col 73}-.018448
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-120Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   107622{col 34}    39949{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    39352{col 34}    25779{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.997{col 34}    5.997
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.997{col 34}    5.997
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    78742{col 34}    32912
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1100

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00578{col 33} .00785{col 43}-0.7370{col 52}0.461{col 60}-.021167{col 73} .009598
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02887{col 33} .00785{col 43}-3.6780{col 52}0.000{col 60}-.044249{col 73}-.013484
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02887{col 33} .01034{col 43}-2.7926{col 52}0.005{col 60}-.049126{col 73}-.008607
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-110Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108210{col 34}    39361{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    39417{col 34}    25466{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.008{col 34}    6.008
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.008{col 34}    6.008
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    79192{col 34}    32462
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1100

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00182{col 33} .00791{col 43}-0.2304{col 52}0.818{col 60}-.017323{col 73} .013679
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03047{col 33} .00791{col 43}-3.8524{col 52}0.000{col 60}-.045968{col 73}-.014966
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03047{col 33} .01038{col 43}-2.9357{col 52}0.003{col 60}-.050808{col 73}-.010127
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-100Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108812{col 34}    38759{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    39218{col 34}    25040{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.979{col 34}    5.979
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.979{col 34}    5.979
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    79640{col 34}    32014
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1100

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00375{col 33} .00802{col 43}0.4672{col 52}0.640{col 60}-.011968{col 73}  .01946
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02746{col 33} .00802{col 43}-3.4255{col 52}0.001{col 60}-.043179{col 73} -.01175
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02746{col 33}  .0104{col 43}-2.6420{col 52}0.008{col 60}-.047839{col 73} -.00709
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-90Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   109420{col 34}    38151{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    40122{col 34}    25053{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.129{col 34}    6.129
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.129{col 34}    6.129
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    80118{col 34}    31536
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1100

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01305{col 33} .00815{col 43}1.6010{col 52}0.109{col 60}-.002926{col 73} .029029
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01515{col 33} .00815{col 43}-1.8588{col 52}0.063{col 60}-.031131{col 73} .000825
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01515{col 33} .01045{col 43}-1.4494{col 52}0.147{col 60}-.035643{col 73} .005338
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-80Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   110015{col 34}    37556{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    43396{col 34}    25869{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.652{col 34}    6.652
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.652{col 34}    6.652
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    80580{col 34}    31074
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02167{col 33} .00798{col 43}2.7168{col 52}0.007{col 60} .006036{col 73} .037299
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00812{col 33} .00798{col 43}1.0180{col 52}0.309{col 60}-.007513{col 73}  .02375
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00812{col 33} .01029{col 43}0.7886{col 52}0.430{col 60}-.012059{col 73} .028296
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-70Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   110590{col 34}    36981{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    45394{col 34}    26229{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.988{col 34}    6.988
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.988{col 34}    6.988
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    81033{col 34}    30621
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03157{col 33} .00791{col 43}3.9890{col 52}0.000{col 60} .016058{col 73}  .04708
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01528{col 33} .00791{col 43}1.9310{col 52}0.053{col 60}-.000229{col 73} .030793
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01528{col 33} .01035{col 43}1.4770{col 52}0.140{col 60}-.004997{col 73} .035561
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-60Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   111144{col 34}    36427{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    44421{col 34}    25581{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.834{col 34}    6.834
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.834{col 34}    6.834
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    81455{col 34}    30199
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02638{col 33} .00826{col 43}3.1941{col 52}0.001{col 60} .010193{col 73} .042568
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00655{col 33} .00826{col 43}0.7928{col 52}0.428{col 60} -.00964{col 73} .022735
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00655{col 33} .01056{col 43}0.6201{col 52}0.535{col 60}-.014147{col 73} .027242
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-50Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   111767{col 34}    35804{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    48530{col 34}    26456{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.521{col 34}    7.521
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.521{col 34}    7.521
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    81931{col 34}    29723
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04183{col 33} .00809{col 43}5.1741{col 52}0.000{col 60} .025987{col 73}  .05768
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02422{col 33} .00809{col 43}2.9957{col 52}0.003{col 60} .008374{col 73} .040068
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02422{col 33} .01029{col 43}2.3545{col 52}0.019{col 60} .004059{col 73} .044383
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-40Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   112330{col 34}    35241{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    47875{col 34}    25867{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.409{col 34}    7.409
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.409{col 34}    7.409
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    82378{col 34}    29276
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05122{col 33} .00825{col 43}6.2082{col 52}0.000{col 60}  .03505{col 73} .067391
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03857{col 33} .00825{col 43}4.6747{col 52}0.000{col 60} .022398{col 73} .054739
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03857{col 33} .01058{col 43}3.6451{col 52}0.000{col 60}  .01783{col 73} .059306
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-30Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   112903{col 34}    34668{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    47760{col 34}    25450{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.398{col 34}    7.398
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.398{col 34}    7.398
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    82840{col 34}    28814
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0504{col 33} .00855{col 43}5.8943{col 52}0.000{col 60}  .03364{col 73} .067158
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03869{col 33} .00855{col 43}4.5254{col 52}0.000{col 60} .021936{col 73} .055453
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03869{col 33} .01136{col 43}3.4076{col 52}0.001{col 60} .016439{col 73}  .06095
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-20Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113472{col 34}    34099{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    47261{col 34}    24922{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.319{col 34}    7.319
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.319{col 34}    7.319
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83315{col 34}    28339
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04809{col 33} .00879{col 43}5.4677{col 52}0.000{col 60}  .03085{col 73} .065325
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03524{col 33} .00879{col 43}4.0070{col 52}0.000{col 60} .018003{col 73} .052479
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03524{col 33} .01201{col 43}2.9352{col 52}0.003{col 60} .011709{col 73} .058773
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-10Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    47276{col 34}    24887{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.375{col 34}    7.375
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.375{col 34}    7.375
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04985{col 33} .00887{col 43}5.6191{col 52}0.000{col 60} .032463{col 73} .067239
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03387{col 33} .00887{col 43}3.8179{col 52}0.000{col 60} .016483{col 73}  .05126
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03387{col 33} .01208{col 43}2.8041{col 52}0.005{col 60} .010196{col 73} .057547
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake0Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114029{col 34}    33542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    44876{col 34}    24243{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.052{col 34}    7.052
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.052{col 34}    7.052
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83842{col 34}    27812
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04329{col 33} .00887{col 43}4.8822{col 52}0.000{col 60} .025908{col 73} .060663
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}   .029{col 33} .00887{col 43}3.2712{col 52}0.001{col 60} .011625{col 73}  .04638
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}   .029{col 33} .01211{col 43}2.3941{col 52}0.017{col 60} .005259{col 73} .052746
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake10Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114566{col 34}    33005{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    47792{col 34}    24645{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.526{col 34}    7.526
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.526{col 34}    7.526
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    84292{col 34}    27362
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04779{col 33} .00878{col 43}5.4445{col 52}0.000{col 60} .030587{col 73} .064995
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02613{col 33} .00878{col 43}2.9772{col 52}0.003{col 60} .008929{col 73} .043338
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02613{col 33} .01186{col 43}2.2035{col 52}0.028{col 60} .002888{col 73} .049379
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake20Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   115121{col 34}    32450{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    46261{col 34}    23872{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.296{col 34}    7.296
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.296{col 34}    7.296
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    84749{col 34}    26905
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03224{col 33} .00901{col 43}3.5765{col 52}0.000{col 60} .014573{col 73} .049909
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0048{col 33} .00901{col 43}0.5322{col 52}0.595{col 60} -.01287{col 73} .022466
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0048{col 33} .01231{col 43}0.3898{col 52}0.697{col 60}-.019328{col 73} .028923
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake30Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   115649{col 34}    31922{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    43981{col 34}    22987{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.970{col 34}    6.970
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.970{col 34}    6.970
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    85182{col 34}    26472
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01783{col 33}  .0093{col 43}1.9181{col 52}0.055{col 60}-.000389{col 73} .036056
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01132{col 33}  .0093{col 43}-1.2173{col 52}0.223{col 60} -.02954{col 73} .006905
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01132{col 33} .01292{col 43}-0.8759{col 52}0.381{col 60}-.036643{col 73} .014007
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake40Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   116196{col 34}    31375{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    42671{col 34}    22297{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.782{col 34}    6.782
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.782{col 34}    6.782
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    85608{col 34}    26046
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00996{col 33} .00944{col 43}1.0552{col 52}0.291{col 60}-.008541{col 73} .028463
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01332{col 33} .00944{col 43}-1.4106{col 52}0.158{col 60}-.031818{col 73} .005186
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01332{col 33} .01312{col 43}-1.0152{col 52}0.310{col 60}-.039023{col 73} .012391
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake50Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   116684{col 34}    30887{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    42042{col 34}    21854{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.708{col 34}    6.708
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.708{col 34}    6.708
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    85998{col 34}    25656
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00355{col 33} .00969{col 43}0.3661{col 52}0.714{col 60}-.015439{col 73} .022531
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02112{col 33} .00969{col 43}-2.1803{col 52}0.029{col 60}-.040105{col 73}-.002135
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02112{col 33}  .0133{col 43}-1.5876{col 52}0.112{col 60}-.047193{col 73} .004953
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake60Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   117194{col 34}    30377{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    41757{col 34}    21466{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.687{col 34}    6.687
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.687{col 34}    6.687
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    86403{col 34}    25251
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00316{col 33} .00988{col 43}-0.3197{col 52}0.749{col 60}-.022534{col 73} .016214
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03139{col 33} .00988{col 43}-3.1755{col 52}0.001{col 60}-.050763{col 73}-.012016
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03139{col 33} .01341{col 43}-2.3407{col 52}0.019{col 60}-.057673{col 73}-.005105
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake70Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   117688{col 34}    29883{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    40882{col 34}    20966{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.584{col 34}    6.584
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.584{col 34}    6.584
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    86808{col 34}    24846
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00308{col 33} .01019{col 43}-0.3020{col 52}0.763{col 60}-.023051{col 73} .016896
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02331{col 33} .01019{col 43}-2.2877{col 52}0.022{col 60}-.043287{col 73} -.00334
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02331{col 33} .01368{col 43}-1.7042{col 52}0.088{col 60}-.050124{col 73} .003498
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake80Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   118235{col 34}    29336{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    41484{col 34}    20756{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.695{col 34}    6.695
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.695{col 34}    6.695
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    87247{col 34}    24407
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00639{col 33}  .0104{col 43}-0.6144{col 52}0.539{col 60}-.026772{col 73} .013993
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03065{col 33}  .0104{col 43}-2.9472{col 52}0.003{col 60}-.051031{col 73}-.010267
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03065{col 33} .01388{col 43}-2.2078{col 52}0.027{col 60}-.057858{col 73} -.00344
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake90Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   118721{col 34}    28850{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    43046{col 34}    20820{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.954{col 34}    6.954
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.954{col 34}    6.954
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    87620{col 34}    24034
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00797{col 33}  .0103{col 43}-0.7734{col 52}0.439{col 60}-.028164{col 73} .012226
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02948{col 33}  .0103{col 43}-2.8607{col 52}0.004{col 60}-.049672{col 73}-.009281
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02948{col 33} .01383{col 43}-2.1319{col 52}0.033{col 60}-.056576{col 73}-.002377
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake100Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   119214{col 34}    28357{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    45505{col 34}    20985{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.351{col 34}    7.351
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.351{col 34}    7.351
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    88013{col 34}    23641
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00395{col 33} .01003{col 43}-0.3942{col 52}0.693{col 60}-.023609{col 73} .015703
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01981{col 33} .01003{col 43}-1.9752{col 52}0.048{col 60}-.039465{col 73}-.000153
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01981{col 33} .01358{col 43}-1.4590{col 52}0.145{col 60}-.046419{col 73} .006801
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake110Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   119700{col 34}    27871{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    43411{col 34}    20247{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.063{col 34}    7.063
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.063{col 34}    7.063
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    88400{col 34}    23254
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01427{col 33} .01033{col 43}-1.3806{col 52}0.167{col 60}-.034523{col 73} .005987
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02663{col 33} .01033{col 43}-2.5769{col 52}0.010{col 60}-.046886{col 73}-.006376
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02663{col 33} .01391{col 43}-1.9146{col 52}0.056{col 60}-.053892{col 73} .000631
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake120Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   120154{col 34}    27417{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    44090{col 34}    20101{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.192{col 34}    7.192
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.192{col 34}    7.192
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    88764{col 34}    22890
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01897{col 33} .01031{col 43}-1.8397{col 52}0.066{col 60}-.039183{col 73}  .00124
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03482{col 33} .01031{col 43}-3.3762{col 52}0.001{col 60}-.055027{col 73}-.014604
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03482{col 33} .01373{col 43}-2.5349{col 52}0.011{col 60}-.061735{col 73}-.007896
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake130Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   120625{col 34}    26946{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    45521{col 34}    20030{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.436{col 34}    7.436
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.436{col 34}    7.436
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    89153{col 34}    22501
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02078{col 33} .01027{col 43}-2.0229{col 52}0.043{col 60}-.040911{col 73}-.000647
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04102{col 33} .01027{col 43}-3.9933{col 52}0.000{col 60}-.061151{col 73}-.020887
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04102{col 33} .01338{col 43}-3.0664{col 52}0.002{col 60}-.067237{col 73}-.014801
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake140Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   121053{col 34}    26518{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    46751{col 34}    20028{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.663{col 34}    7.663
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.663{col 34}    7.663
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    89507{col 34}    22147
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01556{col 33} .01032{col 43}-1.5080{col 52}0.132{col 60}-.035774{col 73} .004662
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02386{col 33} .01032{col 43}-2.3132{col 52}0.021{col 60} -.04408{col 73}-.003644
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02386{col 33} .01362{col 43}-1.7518{col 52}0.080{col 60} -.05056{col 73} .002835
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake150Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   121543{col 34}    26028{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    48170{col 34}    19937{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.905{col 34}    7.905
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.905{col 34}    7.905
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    89896{col 34}    21758
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02205{col 33} .01025{col 43}-2.1515{col 52}0.031{col 60}-.042131{col 73}-.001963
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02755{col 33} .01025{col 43}-2.6884{col 52}0.007{col 60}-.047632{col 73}-.007464
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02755{col 33} .01334{col 43}-2.0656{col 52}0.039{col 60}-.053688{col 73}-.001408
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake160Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122029{col 34}    25542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    48799{col 34}    19665{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.029{col 34}    8.029
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.029{col 34}    8.029
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    90286{col 34}    21368
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02327{col 33} .01022{col 43}-2.2769{col 52}0.023{col 60}-.043308{col 73} -.00324
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02236{col 33} .01022{col 43}-2.1874{col 52}0.029{col 60}-.042392{col 73}-.002324
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02236{col 33} .01331{col 43}-1.6804{col 52}0.093{col 60}-.048437{col 73}  .00372
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake170Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122463{col 34}    25108{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    46169{col 34}    18975{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.663{col 34}    7.663
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.663{col 34}    7.663
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    90634{col 34}    21020
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02959{col 33} .01054{col 43}-2.8070{col 52}0.005{col 60}-.050253{col 73}-.008929
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02582{col 33} .01054{col 43}-2.4495{col 52}0.014{col 60}-.046484{col 73}-.005161
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02582{col 33} .01345{col 43}-1.9203{col 52}0.055{col 60}-.052179{col 73} .000534
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake180Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122907{col 34}    24664{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    45523{col 34}    18568{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.599{col 34}    7.599
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.599{col 34}    7.599
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    90994{col 34}    20660
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03564{col 33} .01053{col 43}-3.3848{col 52}0.001{col 60}-.056277{col 73}-.015002
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03153{col 33} .01053{col 43}-2.9945{col 52}0.003{col 60}-.052167{col 73}-.010893
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03153{col 33} .01349{col 43}-2.3367{col 52}0.019{col 60}-.057977{col 73}-.005083
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake190Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   123367{col 34}    24204{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    45203{col 34}    18189{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.583{col 34}    7.583
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.583{col 34}    7.583
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    91367{col 34}    20287
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03702{col 33}  .0107{col 43}-3.4599{col 52}0.001{col 60}-.057997{col 73}-.016051
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03087{col 33}  .0107{col 43}-2.8848{col 52}0.004{col 60}-.051843{col 73}-.009897
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03087{col 33} .01352{col 43}-2.2840{col 52}0.022{col 60} -.05736{col 73} -.00438
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake200Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   123805{col 34}    23766{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    45872{col 34}    17979{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.716{col 34}    7.716
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.716{col 34}    7.716
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    91716{col 34}    19938
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03445{col 33} .01084{col 43}-3.1788{col 52}0.001{col 60}-.055683{col 73}-.013208
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01322{col 33} .01084{col 43}-1.2198{col 52}0.223{col 60}-.034455{col 73} .008021
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01322{col 33} .01375{col 43}-0.9611{col 52}0.336{col 60} -.04017{col 73} .013735
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake210Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   124258{col 34}    23313{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    45866{col 34}    17666{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.745{col 34}    7.745
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.745{col 34}    7.745
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    92074{col 34}    19580
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0331{col 33} .01118{col 43}-2.9611{col 52}0.003{col 60}-.055001{col 73}-.011189
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00886{col 33} .01118{col 43}-0.7924{col 52}0.428{col 60}-.030762{col 73} .013049
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00886{col 33} .01419{col 43}-0.6242{col 52}0.533{col 60}-.036667{col 73} .018953
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake220Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   124667{col 34}    22904{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    44248{col 34}    17137{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.541{col 34}    7.541
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.541{col 34}    7.541
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    92395{col 34}    19259
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03555{col 33} .01148{col 43}-3.0974{col 52}0.002{col 60}-.058041{col 73}-.013054
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00449{col 33} .01148{col 43}-0.3908{col 52}0.696{col 60}-.026979{col 73} .018008
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00449{col 33} .01442{col 43}-0.3111{col 52}0.756{col 60}-.032745{col 73} .023774
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake230Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125083{col 34}    22488{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    46850{col 34}    17239{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.971{col 34}    7.971
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.971{col 34}    7.971
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    92722{col 34}    18932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0282{col 33} .01129{col 43}-2.4976{col 52}0.013{col 60}-.050321{col 73} -.00607
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00989{col 33} .01129{col 43}0.8763{col 52}0.381{col 60}-.012234{col 73} .032018
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00989{col 33} .01452{col 43}0.6815{col 52}0.496{col 60}-.018559{col 73} .038344
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake240Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125474{col 34}    22097{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    48626{col 34}    17193{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.279{col 34}    8.279
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.279{col 34}    8.279
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93032{col 34}    18622
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02544{col 33} .01116{col 43}-2.2801{col 52}0.023{col 60}  -.0473{col 73}-.003571
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01351{col 33} .01116{col 43}1.2109{col 52}0.226{col 60}-.008356{col 73} .035373
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01351{col 33} .01448{col 43}0.9329{col 52}0.351{col 60} -.01487{col 73} .041887
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake250Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125890{col 34}    21681{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    50656{col 34}    17136{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.619{col 34}    8.619
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.619{col 34}    8.619
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93347{col 34}    18307
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02352{col 33}  .0112{col 43}-2.0994{col 52}0.036{col 60}-.045477{col 73}-.001563
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01893{col 33}  .0112{col 43}1.6899{col 52}0.091{col 60}-.003026{col 73} .040889
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01893{col 33} .01436{col 43}1.3182{col 52}0.187{col 60}-.009216{col 73}  .04708
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake260Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   126285{col 34}    21286{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    50356{col 34}    16805{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.614{col 34}    8.614
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.614{col 34}    8.614
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93658{col 34}    17996
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02848{col 33} .01135{col 43}-2.5089{col 52}0.012{col 60}-.050721{col 73}-.006231
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01556{col 33} .01135{col 43}1.3713{col 52}0.170{col 60}-.006681{col 73}  .03781
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01556{col 33}  .0144{col 43}1.0811{col 52}0.280{col 60}-.012654{col 73} .043783
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake270Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   126643{col 34}    20928{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    47938{col 34}    16294{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.299{col 34}    8.299
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.299{col 34}    8.299
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93937{col 34}    17717
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03224{col 33} .01144{col 43}-2.8172{col 52}0.005{col 60}-.054662{col 73}-.009809
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01764{col 33} .01144{col 43}1.5419{col 52}0.123{col 60}-.004783{col 73}  .04007
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01764{col 33} .01481{col 43}1.1915{col 52}0.233{col 60}-.011378{col 73} .046665
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake280Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   127014{col 34}    20557{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    49289{col 34}    16187{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.544{col 34}    8.544
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.544{col 34}    8.544
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    94240{col 34}    17414
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03321{col 33} .01147{col 43}-2.8947{col 52}0.004{col 60}-.055689{col 73}-.010723
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01164{col 33} .01147{col 43}1.0147{col 52}0.310{col 60}-.010844{col 73} .034123
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01164{col 33} .01469{col 43}0.7923{col 52}0.428{col 60}-.017153{col 73} .040432
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake290Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   127399{col 34}    20172{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    47900{col 34}    15757{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    8.380{col 34}    8.380
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    8.380{col 34}    8.380
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    94552{col 34}    17102
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04217{col 33} .01167{col 43}-3.6126{col 52}0.000{col 60}-.065042{col 73}-.019289
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00069{col 33} .01167{col 43}0.0595{col 52}0.953{col 60}-.022182{col 73} .023571
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00069{col 33} .01498{col 43}0.0464{col 52}0.963{col 60}-.028672{col 73} .030061
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake300Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Colombia.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     4848{col 34}     7785{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1151{col 34}     5115{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.876{col 34}    3.876
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.876{col 34}    3.876
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .09532{col 33} .01825{col 43}5.2236{col 52}0.000{col 60} .059554{col 73} .131084
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05928{col 33} .01825{col 43}3.2489{col 52}0.001{col 60}  .02352{col 73}  .09505
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05928{col 33} .02021{col 43}2.9333{col 52}0.003{col 60} .019672{col 73} .098897
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-300Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     4901{col 34}     7732{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1348{col 34}     5616{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.636{col 34}    4.636
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.636{col 34}    4.636
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       93{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00085{col 33} .01673{col 43}0.0508{col 52}0.960{col 60}-.031939{col 73} .033638
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .12414{col 33} .01673{col 43}7.4206{col 52}0.000{col 60}  .09135{col 73} .156926
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .12414{col 33} .02357{col 43}5.2676{col 52}0.000{col 60} .077949{col 73} .170327
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-290Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     4953{col 34}     7680{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1271{col 34}     5357{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.140{col 34}    4.140
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.140{col 34}    4.140
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03294{col 33} .01901{col 43}1.7332{col 52}0.083{col 60} -.00431{col 73} .070195
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08126{col 33} .01901{col 43}4.2754{col 52}0.000{col 60} .044009{col 73} .118514
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08126{col 33} .02339{col 43}3.4744{col 52}0.001{col 60} .035421{col 73} .127103
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-280Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5019{col 34}     7614{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1357{col 34}     5430{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.300{col 34}    4.300
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.300{col 34}    4.300
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00321{col 33} .01635{col 43}-0.1966{col 52}0.844{col 60}-.035252{col 73} .028824
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .11021{col 33} .01635{col 43}6.7421{col 52}0.000{col 60}  .07817{col 73} .142246
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .11021{col 33}  .0249{col 43}4.4252{col 52}0.000{col 60} .061396{col 73}  .15902
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-270Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5088{col 34}     7545{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1222{col 34}     4879{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.484{col 34}    3.484
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.484{col 34}    3.484
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .07155{col 33} .01896{col 43}3.7740{col 52}0.000{col 60}  .03439{col 73} .108705
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04588{col 33} .01896{col 43}2.4199{col 52}0.016{col 60}  .00872{col 73} .083035
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04588{col 33} .02441{col 43}1.8792{col 52}0.060{col 60}-.001972{col 73} .093726
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-260Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5155{col 34}     7478{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1309{col 34}     5060{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.701{col 34}    3.701
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.701{col 34}    3.701
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04425{col 33} .01776{col 43}2.4919{col 52}0.013{col 60} .009447{col 73} .079055
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .07194{col 33} .01776{col 43}4.0515{col 52}0.000{col 60}  .03714{col 73} .106749
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .07194{col 33} .02317{col 43}3.1047{col 52}0.002{col 60} .026527{col 73} .117362
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-250Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5219{col 34}     7414{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1380{col 34}     5125{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.817{col 34}    3.817
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.817{col 34}    3.817
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02375{col 33} .01612{col 43}1.4728{col 52}0.141{col 60}-.007855{col 73}  .05535
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .09254{col 33} .01612{col 43}5.7394{col 52}0.000{col 60} .060939{col 73} .124143
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .09254{col 33} .02073{col 43}4.4631{col 52}0.000{col 60} .051902{col 73}  .13318
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-240Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5301{col 34}     7332{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1571{col 34}     5389{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.379{col 34}    4.379
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.379{col 34}    4.379
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       94{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0693{col 33} .01576{col 43}-4.3965{col 52}0.000{col 60}  -.1002{col 73}-.038408
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08532{col 33} .01576{col 43}5.4127{col 52}0.000{col 60} .054427{col 73} .116219
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08532{col 33} .02282{col 43}3.7385{col 52}0.000{col 60} .040591{col 73} .130055
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-230Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5389{col 34}     7244{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1523{col 34}     5099{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.888{col 34}    3.888
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.888{col 34}    3.888
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02653{col 33} .01497{col 43}-1.7720{col 52}0.076{col 60}-.055877{col 73} .002814
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .10552{col 33} .01497{col 43}7.0475{col 52}0.000{col 60} .076173{col 73} .134863
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .10552{col 33} .02161{col 43}4.8818{col 52}0.000{col 60} .063154{col 73} .147882
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-220Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5488{col 34}     7145{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1631{col 34}     5124{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.024{col 34}    4.024
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.024{col 34}    4.024
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05749{col 33} .01544{col 43}-3.7227{col 52}0.000{col 60}-.087765{col 73}-.027225
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08154{col 33} .01544{col 43}5.2799{col 52}0.000{col 60} .051273{col 73} .111813
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08154{col 33} .02147{col 43}3.7975{col 52}0.000{col 60} .039457{col 73} .123629
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-210Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5594{col 34}     7039{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1866{col 34}     5331{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.692{col 34}    4.692
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.692{col 34}    4.692
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       94{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.10633{col 33} .01472{col 43}-7.2255{col 52}0.000{col 60}-.135169{col 73}-.077485
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05255{col 33} .01472{col 43}3.5710{col 52}0.000{col 60} .023707{col 73}  .08139
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05255{col 33} .01825{col 43}2.8791{col 52}0.004{col 60} .016775{col 73} .088322
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-200Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5717{col 34}     6916{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1996{col 34}     5258{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.834{col 34}    4.834
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.834{col 34}    4.834
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       94{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.12266{col 33} .01533{col 43}-8.0001{col 52}0.000{col 60}-.152711{col 73}-.092609
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02026{col 33} .01533{col 43}1.3211{col 52}0.186{col 60}-.009795{col 73} .050306
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02026{col 33}  .0178{col 43}1.1378{col 52}0.255{col 60}-.014635{col 73} .055146
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-190Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5841{col 34}     6792{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2067{col 34}     5120{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.681{col 34}    4.681
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.681{col 34}    4.681
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       93{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.11732{col 33} .01429{col 43}-8.2089{col 52}0.000{col 60}-.145332{col 73}-.089309
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02327{col 33} .01429{col 43}1.6279{col 52}0.104{col 60}-.004746{col 73} .051277
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02327{col 33}  .0168{col 43}1.3848{col 52}0.166{col 60}-.009663{col 73} .056195
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-180Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5971{col 34}     6662{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2046{col 34}     4890{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.194{col 34}    4.194
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.194{col 34}    4.194
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.11524{col 33} .01531{col 43}-7.5294{col 52}0.000{col 60}-.145241{col 73}-.085244
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02494{col 33} .01531{col 43}1.6292{col 52}0.103{col 60}-.005062{col 73} .054935
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02494{col 33} .01808{col 43}1.3791{col 52}0.168{col 60}-.010504{col 73} .060377
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-170Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6091{col 34}     6542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2065{col 34}     4713{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.931{col 34}    3.931
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.931{col 34}    3.931
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.10672{col 33} .01524{col 43}-7.0018{col 52}0.000{col 60}-.136593{col 73}-.076846
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03727{col 33} .01524{col 43}2.4452{col 52}0.014{col 60} .007397{col 73} .067143
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03727{col 33}  .0185{col 43}2.0141{col 52}0.044{col 60} .001003{col 73} .073537
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-160Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6214{col 34}     6419{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2136{col 34}     4598{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.858{col 34}    3.858
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.858{col 34}    3.858
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.11753{col 33} .01517{col 43}-7.7498{col 52}0.000{col 60} -.14725{col 73}-.087804
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01063{col 33} .01517{col 43}0.7011{col 52}0.483{col 60}-.019091{col 73} .040355
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01063{col 33} .01996{col 43}0.5325{col 52}0.594{col 60}-.028498{col 73} .049762
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-150Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6374{col 34}     6259{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2141{col 34}     4283{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.397{col 34}    3.397
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.397{col 34}    3.397
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.10149{col 33} .01508{col 43}-6.7306{col 52}0.000{col 60} -.13104{col 73}-.071933
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01341{col 33} .01508{col 43}0.8896{col 52}0.374{col 60}-.016139{col 73} .042968
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01341{col 33} .01903{col 43}0.7049{col 52}0.481{col 60}-.023883{col 73} .050712
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-140Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6527{col 34}     6106{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2229{col 34}     4115{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.266{col 34}    3.266
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.266{col 34}    3.266
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.10449{col 33} .01605{col 43}-6.5100{col 52}0.000{col 60} -.13595{col 73}-.073032
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00541{col 33} .01605{col 43}0.3373{col 52}0.736{col 60}-.026046{col 73} .036873
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00541{col 33} .01953{col 43}0.2772{col 52}0.782{col 60}-.032863{col 73}  .04369
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-130Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6681{col 34}     5952{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2345{col 34}     3988{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.225{col 34}    3.225
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.225{col 34}    3.225
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.11624{col 33} .01635{col 43}-7.1111{col 52}0.000{col 60}-.148275{col 73}  -.0842
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02894{col 33} .01635{col 43}-1.7707{col 52}0.077{col 60}-.060981{col 73} .003094
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02894{col 33} .01944{col 43}-1.4892{col 52}0.136{col 60}-.067036{col 73} .009148
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-120Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6860{col 34}     5773{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2472{col 34}     3811{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.128{col 34}    3.128
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.128{col 34}    3.128
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.10485{col 33} .01578{col 43}-6.6435{col 52}0.000{col 60}-.135783{col 73}-.073917
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02952{col 33} .01578{col 43}-1.8701{col 52}0.061{col 60}-.060449{col 73} .001417
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02952{col 33}  .0187{col 43}-1.5780{col 52}0.115{col 60}-.066177{col 73} .007146
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-110Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7040{col 34}     5593{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2600{col 34}     3639{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.047{col 34}    3.047
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.047{col 34}    3.047
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.10224{col 33} .01592{col 43}-6.4227{col 52}0.000{col 60}-.133438{col 73}-.071039
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04787{col 33} .01592{col 43}-3.0073{col 52}0.003{col 60} -.07907{col 73}-.016671
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04787{col 33} .01882{col 43}-2.5442{col 52}0.011{col 60}-.084748{col 73}-.010993
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-100Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7234{col 34}     5399{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2735{col 34}     3452{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.969{col 34}    2.969
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.969{col 34}    2.969
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.08722{col 33} .01671{col 43}-5.2187{col 52}0.000{col 60}-.119972{col 73}-.054461
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04758{col 33} .01671{col 43}-2.8469{col 52}0.004{col 60}-.080333{col 73}-.014823
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04758{col 33} .01869{col 43}-2.5454{col 52}0.011{col 60}-.084212{col 73}-.010943
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-90Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7432{col 34}     5201{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2896{col 34}     3297{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.974{col 34}    2.974
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.974{col 34}    2.974
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0901{col 33} .01656{col 43}-5.4401{col 52}0.000{col 60}-.122562{col 73}-.057639
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06441{col 33} .01656{col 43}-3.8890{col 52}0.000{col 60}-.096873{col 73} -.03195
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06441{col 33} .01764{col 43}-3.6524{col 52}0.000{col 60}-.098976{col 73}-.029847
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-80Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7667{col 34}     4966{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3122{col 34}     3145{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.058{col 34}    3.058
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.058{col 34}    3.058
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06989{col 33} .01858{col 43}-3.7609{col 52}0.000{col 60}-.106317{col 73}-.033469
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0658{col 33} .01858{col 43}-3.5408{col 52}0.000{col 60}-.102227{col 73}-.029379
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0658{col 33} .01957{col 43}-3.3618{col 52}0.001{col 60}-.104167{col 73}-.027439
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-70Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7883{col 34}     4750{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3414{col 34}     3057{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.367{col 34}    3.367
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.367{col 34}    3.367
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0289{col 33} .01911{col 43}-1.5121{col 52}0.131{col 60}-.066351{col 73} .008558
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.07054{col 33} .01911{col 43}-3.6915{col 52}0.000{col 60}-.107998{col 73}-.033089
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.07054{col 33} .02362{col 43}-2.9866{col 52}0.003{col 60}-.116838{col 73}-.024249
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-60Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8073{col 34}     4560{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3623{col 34}     2920{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.506{col 34}    3.506
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.506{col 34}    3.506
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00127{col 33} .02112{col 43}-0.0599{col 52}0.952{col 60} -.04267{col 73} .040138
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.07092{col 33} .02112{col 43}-3.3571{col 52}0.001{col 60}-.112321{col 73}-.029513
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.07092{col 33} .02527{col 43}-2.8062{col 52}0.005{col 60}-.120448{col 73}-.021386
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-50Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8256{col 34}     4377{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3948{col 34}     2903{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.109{col 34}    4.109
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.109{col 34}    4.109
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0597{col 33} .02055{col 43}2.9058{col 52}0.004{col 60} .019433{col 73} .099972
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00042{col 33} .02055{col 43}-0.0203{col 52}0.984{col 60}-.040686{col 73} .039853
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00042{col 33} .02749{col 43}-0.0152{col 52}0.988{col 60}-.054287{col 73} .053453
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-40Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8467{col 34}     4166{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4289{col 34}     2807{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.707{col 34}    4.707
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.707{col 34}    4.707
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11988{col 33} .01977{col 43}6.0641{col 52}0.000{col 60} .081134{col 73} .158625
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04577{col 33} .01977{col 43}2.3153{col 52}0.021{col 60} .007024{col 73} .084516
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04577{col 33}   .026{col 43}1.7603{col 52}0.078{col 60}-.005193{col 73} .096733
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-30Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8650{col 34}     3983{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4648{col 34}     2746{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.404{col 34}    5.404
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.404{col 34}    5.404
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .18378{col 33} .02085{col 43}8.8158{col 52}0.000{col 60} .142918{col 73} .224633
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}   .119{col 33} .02085{col 43}5.7085{col 52}0.000{col 60} .078142{col 73} .159857
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}   .119{col 33} .02794{col 43}4.2594{col 52}0.000{col 60} .064242{col 73} .173756
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-20Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8814{col 34}     3819{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4877{col 34}     2651{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.761{col 34}    5.761
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.761{col 34}    5.761
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .22149{col 33}   .022{col 43}10.0678{col 52}0.000{col 60} .178373{col 73} .264612
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .16546{col 33}   .022{col 43}7.5209{col 52}0.000{col 60} .122341{col 73} .208579
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .16546{col 33} .02872{col 43}5.7612{col 52}0.000{col 60} .109171{col 73} .221749
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-10Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5196{col 34}     2561{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.436{col 34}    6.436
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.436{col 34}    6.436
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       93{col 34}       93

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .25159{col 33} .02224{col 43}11.3117{col 52}0.000{col 60}    .208{col 73} .295186
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .18853{col 33} .02224{col 43}8.4763{col 52}0.000{col 60} .144936{col 73} .232122
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .18853{col 33} .02706{col 43}6.9681{col 52}0.000{col 60} .135501{col 73} .241558
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake0Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9116{col 34}     3517{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5457{col 34}     2483{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.114{col 34}    7.114
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.114{col 34}    7.114
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       94{col 34}       95

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .2612{col 33} .02524{col 43}10.3477{col 52}0.000{col 60} .211725{col 73} .310673
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .17716{col 33} .02524{col 43}7.0182{col 52}0.000{col 60} .127683{col 73} .226631
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .17716{col 33} .03228{col 43}5.4880{col 52}0.000{col 60} .113888{col 73} .240426
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake10Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9253{col 34}     3380{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5644{col 34}     2380{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.462{col 34}    7.462
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.462{col 34}    7.462
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       95{col 34}       95

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .25585{col 33} .02695{col 43}9.4924{col 52}0.000{col 60} .203022{col 73} .308676
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .1635{col 33} .02695{col 43}6.0660{col 52}0.000{col 60} .110671{col 73} .216325
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .1635{col 33} .03462{col 43}4.7226{col 52}0.000{col 60} .095643{col 73} .231353
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake20Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9386{col 34}     3247{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5647{col 34}     2213{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.923{col 34}    6.923
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.923{col 34}    6.923
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       94{col 34}       95

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .21474{col 33} .02631{col 43}8.1621{col 52}0.000{col 60} .163174{col 73} .266304
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08915{col 33} .02631{col 43}3.3885{col 52}0.001{col 60} .037585{col 73} .140715
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08915{col 33} .03284{col 43}2.7151{col 52}0.007{col 60} .024794{col 73} .153506
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake30Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9525{col 34}     3108{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5566{col 34}     2025{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.159{col 34}    6.159
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.159{col 34}    6.159
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       94

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .14852{col 33} .02955{col 43}5.0262{col 52}0.000{col 60} .090607{col 73} .206441
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01304{col 33} .02955{col 43}0.4414{col 52}0.659{col 60}-.044873{col 73} .070961
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01304{col 33} .03851{col 43}0.3387{col 52}0.735{col 60}-.062428{col 73} .088515
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake40Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9621{col 34}     3012{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5594{col 34}     1927{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.026{col 34}    6.026
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.026{col 34}    6.026
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       94

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .12608{col 33} .02955{col 43}4.2666{col 52}0.000{col 60} .068163{col 73} .184001
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01279{col 33} .02955{col 43}-0.4330{col 52}0.665{col 60}-.070713{col 73} .045125
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01279{col 33} .03715{col 43}-0.3444{col 52}0.731{col 60}-.085612{col 73} .060023
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake50Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9719{col 34}     2914{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5634{col 34}     1829{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.930{col 34}    5.930
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.930{col 34}    5.930
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       94

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .09689{col 33} .03026{col 43}3.2024{col 52}0.001{col 60} .037591{col 73} .156197
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04634{col 33} .03026{col 43}-1.5316{col 52}0.126{col 60}-.105646{col 73}  .01296
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04634{col 33} .04032{col 43}-1.1494{col 52}0.250{col 60}-.125365{col 73} .032678
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake60Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9809{col 34}     2824{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5725{col 34}     1754{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.040{col 34}    6.040
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.040{col 34}    6.040
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       94

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .08597{col 33} .03258{col 43}2.6385{col 52}0.008{col 60} .022108{col 73} .149827
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05028{col 33} .03258{col 43}-1.5433{col 52}0.123{col 60}-.114143{col 73} .013577
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05028{col 33} .04282{col 43}-1.1744{col 52}0.240{col 60}-.134203{col 73} .033637
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake70Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9914{col 34}     2719{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5722{col 34}     1636{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.761{col 34}    5.761
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.761{col 34}    5.761
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       94

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04591{col 33} .03442{col 43}1.3337{col 52}0.182{col 60}-.021556{col 73} .113368
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.09394{col 33} .03442{col 43}-2.7291{col 52}0.006{col 60}-.161398{col 73}-.026474
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.09394{col 33} .04748{col 43}-1.9784{col 52}0.048{col 60}-.186999{col 73}-.000873
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake80Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9983{col 34}     2650{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5703{col 34}     1553{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.510{col 34}    5.510
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.510{col 34}    5.510
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       93

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03335{col 33} .03488{col 43}0.9561{col 52}0.339{col 60}-.035018{col 73} .101721
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.07716{col 33} .03488{col 43}-2.2121{col 52}0.027{col 60}-.145534{col 73}-.008795
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.07716{col 33}  .0483{col 43}-1.5977{col 52}0.110{col 60}-.171824{col 73} .017494
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake90Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10055{col 34}     2578{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5691{col 34}     1477{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.327{col 34}    5.327
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.327{col 34}    5.327
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       93

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02198{col 33} .03561{col 43}-0.6172{col 52}0.537{col 60} -.09177{col 73} .047812
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.13156{col 33} .03561{col 43}-3.6946{col 52}0.000{col 60}-.201352{col 73}-.061769
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.13156{col 33} .04827{col 43}-2.7257{col 52}0.006{col 60}-.226162{col 73}-.036959
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake100Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10141{col 34}     2492{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5759{col 34}     1397{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.342{col 34}    5.342
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.342{col 34}    5.342
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       93

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03861{col 33} .03908{col 43}-0.9879{col 52}0.323{col 60}-.115202{col 73}  .03799
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.13028{col 33} .03908{col 43}-3.3337{col 52}0.001{col 60}-.206876{col 73}-.053684
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.13028{col 33}  .0504{col 43}-2.5851{col 52}0.010{col 60}-.229054{col 73}-.031507
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake110Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10215{col 34}     2418{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5682{col 34}     1307{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.989{col 34}    4.989
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.989{col 34}    4.989
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.12401{col 33} .04129{col 43}-3.0034{col 52}0.003{col 60}-.204929{col 73}-.043082
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.20364{col 33} .04129{col 43}-4.9321{col 52}0.000{col 60}-.284561{col 73}-.122714
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.20364{col 33} .04929{col 43}-4.1316{col 52}0.000{col 60}-.300239{col 73}-.107036
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake120Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10279{col 34}     2354{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5730{col 34}     1253{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.041{col 34}    5.041
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.041{col 34}    5.041
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       93

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.15502{col 33} .04302{col 43}-3.6035{col 52}0.000{col 60}-.239344{col 73}-.070706
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.23799{col 33} .04302{col 43}-5.5320{col 52}0.000{col 60}-.322312{col 73}-.153673
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.23799{col 33} .05443{col 43}-4.3728{col 52}0.000{col 60}-.344665{col 73} -.13132
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake130Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10337{col 34}     2296{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5784{col 34}     1211{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.124{col 34}    5.124
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.124{col 34}    5.124
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       94

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.16693{col 33} .04434{col 43}-3.7650{col 52}0.000{col 60}-.253831{col 73}-.080033
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.22985{col 33} .04434{col 43}-5.1842{col 52}0.000{col 60}-.316753{col 73}-.142954
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.22985{col 33} .05697{col 43}-4.0346{col 52}0.000{col 60}-.341514{col 73}-.118193
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake140Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10380{col 34}     2253{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5762{col 34}     1168{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.019{col 34}    5.019
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.019{col 34}    5.019
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       94

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.20054{col 33} .04587{col 43}-4.3720{col 52}0.000{col 60}-.290448{col 73}-.110639
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.24045{col 33} .04587{col 43}-5.2420{col 52}0.000{col 60}-.330358{col 73} -.15055
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.24045{col 33} .05767{col 43}-4.1693{col 52}0.000{col 60} -.35349{col 73}-.127418
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake150Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10449{col 34}     2184{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5894{col 34}     1123{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.313{col 34}    5.313
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.313{col 34}    5.313
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       94

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.15173{col 33} .04651{col 43}-3.2624{col 52}0.001{col 60}-.242885{col 73}-.060574
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.15739{col 33} .04651{col 43}-3.3841{col 52}0.001{col 60}-.248545{col 73}-.066234
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.15739{col 33}  .0607{col 43}-2.5929{col 52}0.010{col 60}-.276361{col 73}-.038418
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake160Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10495{col 34}     2138{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5917{col 34}     1087{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.343{col 34}    5.343
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.343{col 34}    5.343
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       94

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.13683{col 33} .04571{col 43}-2.9933{col 52}0.003{col 60}-.226431{col 73}-.047239
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.12612{col 33} .04571{col 43}-2.7589{col 52}0.006{col 60}-.215716{col 73}-.036524
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.12612{col 33} .05943{col 43}-2.1222{col 52}0.034{col 60}-.242599{col 73}-.009641
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake170Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10547{col 34}     2086{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5985{col 34}     1058{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.496{col 34}    5.496
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.496{col 34}    5.496
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       95

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.15274{col 33} .04416{col 43}-3.4589{col 52}0.001{col 60}-.239298{col 73}-.066192
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.13787{col 33} .04416{col 43}-3.1220{col 52}0.002{col 60}-.224424{col 73}-.051318
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.13787{col 33} .05695{col 43}-2.4208{col 52}0.015{col 60}-.249498{col 73}-.026244
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake180Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10599{col 34}     2034{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6075{col 34}     1028{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.706{col 34}    5.706
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.706{col 34}    5.706
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       94

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.16861{col 33} .04519{col 43}-3.7313{col 52}0.000{col 60}-.257173{col 73}-.080042
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.14954{col 33} .04519{col 43}-3.3092{col 52}0.001{col 60}-.238101{col 73}-.060969
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.14954{col 33} .05724{col 43}-2.6126{col 52}0.009{col 60}-.261715{col 73}-.037355
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake190Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10659{col 34}     1974{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6147{col 34}      985{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.844{col 34}    5.844
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.844{col 34}    5.844
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       94

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.18358{col 33} .04965{col 43}-3.6973{col 52}0.000{col 60}  -.2809{col 73}-.086263
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.1529{col 33} .04965{col 43}-3.0793{col 52}0.002{col 60}-.250214{col 73}-.055577
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.1529{col 33} .06261{col 43}-2.4420{col 52}0.015{col 60}-.275609{col 73}-.030182
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake200Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10695{col 34}     1938{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6132{col 34}      951{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.795{col 34}    5.795
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.795{col 34}    5.795
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       94

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.20067{col 33} .04958{col 43}-4.0477{col 52}0.000{col 60}-.297844{col 73}-.103506
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.12984{col 33} .04958{col 43}-2.6190{col 52}0.009{col 60}-.227013{col 73}-.032674
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.12984{col 33} .06163{col 43}-2.1070{col 52}0.035{col 60}-.250628{col 73}-.009059
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake210Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10739{col 34}     1894{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6227{col 34}      927{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.045{col 34}    6.045
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.045{col 34}    6.045
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       94

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}   -.17{col 33} .05182{col 43}-3.2804{col 52}0.001{col 60}-.271568{col 73}-.068428
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.08998{col 33} .05182{col 43}-1.7363{col 52}0.083{col 60}-.191551{col 73} .011589
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.08998{col 33} .06202{col 43}-1.4508{col 52}0.147{col 60}-.211537{col 73} .031575
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake220Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10789{col 34}     1844{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6320{col 34}      897{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.270{col 34}    6.270
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.270{col 34}    6.270
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       94

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.15858{col 33} .05002{col 43}-3.1704{col 52}0.002{col 60}-.256612{col 73}-.060544
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.07707{col 33} .05002{col 43}-1.5409{col 52}0.123{col 60}-.175106{col 73} .020962
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.07707{col 33} .06146{col 43}-1.2541{col 52}0.210{col 60}-.197526{col 73} .043382
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake230Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10821{col 34}     1812{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6266{col 34}      860{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.111{col 34}    6.111
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.111{col 34}    6.111
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       94

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.14488{col 33} .05165{col 43}-2.8051{col 52}0.005{col 60}-.246105{col 73}-.043649
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01897{col 33} .05165{col 43}0.3674{col 52}0.713{col 60}-.082254{col 73} .120203
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01897{col 33} .06407{col 43}0.2962{col 52}0.767{col 60}-.106591{col 73} .144541
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake240Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10862{col 34}     1771{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6371{col 34}      839{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.401{col 34}    6.401
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.401{col 34}    6.401
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       95

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.15881{col 33} .05277{col 43}-3.0095{col 52}0.003{col 60}-.262239{col 73}-.055384
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02634{col 33} .05277{col 43}-0.4992{col 52}0.618{col 60}-.129772{col 73} .077083
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02634{col 33} .06591{col 43}-0.3997{col 52}0.689{col 60}-.155524{col 73} .102835
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake250Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10893{col 34}     1740{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6435{col 34}      818{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.593{col 34}    6.593
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.593{col 34}    6.593
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       95

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.17089{col 33} .05418{col 43}-3.1544{col 52}0.002{col 60}-.277071{col 73}-.064708
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03171{col 33} .05418{col 43}-0.5853{col 52}0.558{col 60}-.137891{col 73} .074472
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03171{col 33} .06798{col 43}-0.4664{col 52}0.641{col 60}-.164954{col 73} .101535
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake260Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10929{col 34}     1704{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6484{col 34}      794{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.729{col 34}    6.729
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.729{col 34}    6.729
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       95

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.16955{col 33} .05562{col 43}-3.0486{col 52}0.002{col 60}-.278564{col 73}-.060546
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01197{col 33} .05562{col 43}0.2151{col 52}0.830{col 60}-.097043{col 73} .120976
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01197{col 33} .06984{col 43}0.1713{col 52}0.864{col 60}-.124909{col 73} .148841
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake270Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10946{col 34}     1687{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6410{col 34}      774{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.574{col 34}    6.574
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.574{col 34}    6.574
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       95

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.18314{col 33} .05223{col 43}-3.5065{col 52}0.000{col 60}-.285512{col 73}-.080774
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04655{col 33} .05223{col 43}0.8912{col 52}0.373{col 60}-.055821{col 73} .148917
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04655{col 33} .06659{col 43}0.6990{col 52}0.485{col 60}-.083967{col 73} .177063
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake280Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10964{col 34}     1669{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6452{col 34}      775{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.745{col 34}    6.745
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.745{col 34}    6.745
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       96

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.21859{col 33} .05314{col 43}-4.1137{col 52}0.000{col 60}-.322741{col 73}-.114444
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02462{col 33} .05314{col 43}0.4633{col 52}0.643{col 60}-.079532{col 73} .128765
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02462{col 33} .06583{col 43}0.3739{col 52}0.708{col 60}-.104412{col 73} .153645
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake290Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10992{col 34}     1641{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     6545{col 34}      758{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    7.016{col 34}    7.016
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    7.016{col 34}    7.016
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       96

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.23119{col 33} .05565{col 43}-4.1543{col 52}0.000{col 60} -.34027{col 73}-.122119
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02016{col 33} .05565{col 43}0.3622{col 52}0.717{col 60}-.088919{col 73} .129232
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02016{col 33}  .0679{col 43}0.2969{col 52}0.767{col 60}-.112923{col 73} .153235
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake300Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Denmark.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    42493{col 34}   112050{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12903{col 34}    28167{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.406{col 34}    1.406
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.406{col 34}    1.406
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    21313{col 34}    66562
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      433{col 34}      443

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00108{col 33} .00597{col 43}0.1814{col 52}0.856{col 60}-.010615{col 73}  .01278
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00287{col 33} .00597{col 43}-0.4807{col 52}0.631{col 60}-.014567{col 73} .008829
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00287{col 33} .00767{col 43}-0.3742{col 52}0.708{col 60}-.017898{col 73}  .01216
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-300Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    43806{col 34}   110737{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13560{col 34}    29744{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.403{col 34}    1.403
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.403{col 34}    1.403
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    21893{col 34}    65982
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      434{col 34}      443

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00099{col 33} .00589{col 43}0.1682{col 52}0.866{col 60}-.010548{col 73} .012529
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00382{col 33} .00589{col 43}0.6484{col 52}0.517{col 60}-.007721{col 73} .015356
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00382{col 33} .00754{col 43}0.5060{col 52}0.613{col 60}-.010968{col 73} .018603
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-290Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    45203{col 34}   109340{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14183{col 34}    30995{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.391{col 34}    1.391
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.391{col 34}    1.391
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    22533{col 34}    65342
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      434{col 34}      442

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00366{col 33}  .0056{col 43}-0.6532{col 52}0.514{col 60}-.014645{col 73} .007324
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00083{col 33}  .0056{col 43}0.1488{col 52}0.882{col 60}-.010151{col 73} .011818
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00083{col 33} .00739{col 43}0.1128{col 52}0.910{col 60}-.013651{col 73} .015319
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-280Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    46706{col 34}   107837{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    14921{col 34}    32555{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.393{col 34}    1.393
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.393{col 34}    1.393
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    23245{col 34}    64630
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      435{col 34}      443

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00234{col 33} .00528{col 43}-0.4439{col 52}0.657{col 60}-.012697{col 73} .008008
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00862{col 33} .00528{col 43}1.6317{col 52}0.103{col 60}-.001734{col 73} .018971
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00862{col 33} .00717{col 43}1.2018{col 52}0.229{col 60}-.005437{col 73} .022675
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-270Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    48263{col 34}   106280{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16202{col 34}    36065{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.458{col 34}    1.458
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.458{col 34}    1.458
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    23979{col 34}    63896
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      435{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00103{col 33} .00513{col 43}-0.2015{col 52}0.840{col 60}-.011098{col 73} .009029
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00261{col 33} .00513{col 43}0.5077{col 52}0.612{col 60}-.007457{col 73} .012671
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00261{col 33} .00641{col 43}0.4069{col 52}0.684{col 60} -.00995{col 73} .015164
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-260Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    49858{col 34}   104685{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16964{col 34}    37282{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.453{col 34}    1.453
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.453{col 34}    1.453
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    24722{col 34}    63153
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      438{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00076{col 33} .00501{col 43}-0.1516{col 52}0.879{col 60}-.010572{col 73} .009053
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00167{col 33} .00501{col 43}-0.3333{col 52}0.739{col 60}-.011481{col 73} .008144
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00167{col 33}  .0063{col 43}-0.2651{col 52}0.791{col 60}-.014007{col 73}  .01067
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-250Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    51587{col 34}   102956{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18500{col 34}    40347{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.524{col 34}    1.524
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.524{col 34}    1.524
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    25529{col 34}    62346
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      439{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00792{col 33} .00474{col 43}1.6690{col 52}0.095{col 60}-.001381{col 73} .017219
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00669{col 33} .00474{col 43}1.4102{col 52}0.158{col 60}-.002609{col 73} .015991
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00669{col 33} .00586{col 43}1.1409{col 52}0.254{col 60}-.004803{col 73} .018185
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-240Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    53380{col 34}   101163{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    22209{col 34}    48686{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.870{col 34}    1.870
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.870{col 34}    1.870
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    26370{col 34}    61505
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      440{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01414{col 33} .00456{col 43}3.1015{col 52}0.002{col 60} .005206{col 73} .023084
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00438{col 33} .00456{col 43}0.9614{col 52}0.336{col 60}-.004554{col 73} .013323
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00438{col 33} .00588{col 43}0.7452{col 52}0.456{col 60}-.007147{col 73} .015917
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-230Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    55498{col 34}    99045{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24167{col 34}    49735{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.950{col 34}    1.950
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.950{col 34}    1.950
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    27371{col 34}    60504
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0146{col 33} .00467{col 43}3.1262{col 52}0.002{col 60} .005446{col 73} .023751
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00558{col 33} .00467{col 43}1.1946{col 52}0.232{col 60}-.003574{col 73} .014731
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00558{col 33} .00573{col 43}0.9728{col 52}0.331{col 60}-.005661{col 73} .016817
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-220Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    57531{col 34}    97012{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    23824{col 34}    45975{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.747{col 34}    1.747
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.747{col 34}    1.747
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    28355{col 34}    59520
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01548{col 33} .00476{col 43}3.2533{col 52}0.001{col 60} .006155{col 73} .024809
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00028{col 33} .00476{col 43}-0.0593{col 52}0.953{col 60}-.009609{col 73} .009045
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00028{col 33} .00592{col 43}-0.0476{col 52}0.962{col 60}-.011893{col 73} .011328
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-210Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    59815{col 34}    94728{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    23825{col 34}    42785{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.597{col 34}    1.597
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.597{col 34}    1.597
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    29471{col 34}    58404
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01478{col 33} .00492{col 43}3.0023{col 52}0.003{col 60} .005131{col 73} .024425
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00067{col 33} .00492{col 43}-0.1369{col 52}0.891{col 60}-.010321{col 73} .008973
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00067{col 33} .00605{col 43}-0.1114{col 52}0.911{col 60}-.012531{col 73} .011183
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-200Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    62342{col 34}    92201{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24086{col 34}    39794{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.473{col 34}    1.473
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.473{col 34}    1.473
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    30656{col 34}    57219
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01086{col 33} .00491{col 43}2.2118{col 52}0.027{col 60} .001236{col 73} .020481
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00382{col 33} .00491{col 43}0.7776{col 52}0.437{col 60}-.005805{col 73}  .01344
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00382{col 33} .00596{col 43}0.6410{col 52}0.522{col 60}-.007855{col 73}  .01549
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-190Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    64821{col 34}    89722{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25047{col 34}    38579{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.441{col 34}    1.441
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.441{col 34}    1.441
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    31914{col 34}    55961
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00422{col 33} .00509{col 43}0.8295{col 52}0.407{col 60}-.005754{col 73} .014198
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00506{col 33} .00509{col 43}-0.9938{col 52}0.320{col 60}-.015034{col 73} .004917
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00506{col 33} .00626{col 43}-0.8083{col 52}0.419{col 60}-.017324{col 73} .007207
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-180Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    67525{col 34}    87018{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26314{col 34}    37108{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.412{col 34}    1.412
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.412{col 34}    1.412
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    33283{col 34}    54592
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00843{col 33} .00508{col 43}1.6597{col 52}0.097{col 60}-.001525{col 73} .018383
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00419{col 33} .00508{col 43}0.8246{col 52}0.410{col 60}-.005766{col 73} .014142
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00419{col 33} .00603{col 43}0.6940{col 52}0.488{col 60}-.007639{col 73} .016015
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-170Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    70501{col 34}    84042{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28943{col 34}    36780{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.480{col 34}    1.480
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.480{col 34}    1.480
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    34770{col 34}    53105
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00385{col 33} .00558{col 43}0.6896{col 52}0.490{col 60}-.007089{col 73} .014786
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00222{col 33} .00558{col 43}0.3987{col 52}0.690{col 60}-.008713{col 73} .013163
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00222{col 33} .00644{col 43}0.3454{col 52}0.730{col 60}-.010399{col 73} .014849
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-160Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    73450{col 34}    81093{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31309{col 34}    35217{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.528{col 34}    1.528
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.528{col 34}    1.528
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    36275{col 34}    51600
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00478{col 33} .00577{col 43}0.8280{col 52}0.408{col 60}-.006531{col 73} .016084
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00566{col 33} .00577{col 43}-0.9803{col 52}0.327{col 60}-.016963{col 73} .005652
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00566{col 33} .00638{col 43}-0.8866{col 52}0.375{col 60}-.018158{col 73} .006847
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-150Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    76485{col 34}    78058{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36221{col 34}    36986{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.796{col 34}    1.796
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.796{col 34}    1.796
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    37861{col 34}    50014
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00275{col 33} .00538{col 43}-0.5117{col 52}0.609{col 60}-.013293{col 73}  .00779
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00282{col 33} .00538{col 43}0.5243{col 52}0.600{col 60}-.007722{col 73} .013361
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00282{col 33} .00679{col 43}0.4156{col 52}0.678{col 60}-.010479{col 73} .016118
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-140Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    79489{col 34}    75054{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    42507{col 34}    40047{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.194{col 34}    2.194
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.194{col 34}    2.194
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    39543{col 34}    48332
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02268{col 33} .00593{col 43}-3.8243{col 52}0.000{col 60}-.034302{col 73}-.011056
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01768{col 33} .00593{col 43}2.9809{col 52}0.003{col 60} .006055{col 73} .029301
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01768{col 33} .00635{col 43}2.7828{col 52}0.005{col 60} .005227{col 73} .030128
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-130Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    82555{col 34}    71988{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    45696{col 34}    39269{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.306{col 34}    2.306
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.306{col 34}    2.306
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    41192{col 34}    46683
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  -.037{col 33} .00713{col 43}-5.1923{col 52}0.000{col 60}-.050964{col 73}-.023032
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00865{col 33} .00713{col 43}1.2145{col 52}0.225{col 60}-.005312{col 73}  .02262
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00865{col 33} .00676{col 43}1.2796{col 52}0.201{col 60}-.004601{col 73} .021909
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-120Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    85590{col 34}    68953{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    43029{col 34}    32801{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.895{col 34}    1.895
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.895{col 34}    1.895
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    42894{col 34}    44981
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02737{col 33} .00782{col 43}-3.4989{col 52}0.000{col 60}-.042705{col 73}-.012039
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00897{col 33} .00782{col 43}1.1469{col 52}0.251{col 60} -.00636{col 73} .024305
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00897{col 33} .00778{col 43}1.1529{col 52}0.249{col 60}-.006281{col 73} .024226
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-110Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    88484{col 34}    66059{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    43851{col 34}    30440{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.839{col 34}    1.839
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.839{col 34}    1.839
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    44568{col 34}    43307
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0218{col 33} .00914{col 43}-2.3854{col 52}0.017{col 60}-.039708{col 73}-.003888
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01436{col 33} .00914{col 43}1.5716{col 52}0.116{col 60}-.003549{col 73} .032272
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01436{col 33} .00946{col 43}1.5179{col 52}0.129{col 60}-.004183{col 73} .032906
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-100Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    91260{col 34}    63283{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    45525{col 34}    29053{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.862{col 34}    1.862
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.862{col 34}    1.862
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    46197{col 34}    41678
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01886{col 33}  .0105{col 43}-1.7969{col 52}0.072{col 60} -.03944{col 73} .001712
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01103{col 33}  .0105{col 43}1.0507{col 52}0.293{col 60}-.009546{col 73} .031606
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01103{col 33} .01146{col 43}0.9625{col 52}0.336{col 60}-.011431{col 73} .033491
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-90Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    93853{col 34}    60690{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    47561{col 34}    28194{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.928{col 34}    1.928
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.928{col 34}    1.928
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    47738{col 34}    40137
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03228{col 33} .01105{col 43}-2.9226{col 52}0.003{col 60}-.053935{col 73}-.010634
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01602{col 33} .01105{col 43}-1.4503{col 52}0.147{col 60}-.037671{col 73}  .00563
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01602{col 33} .01258{col 43}-1.2730{col 52}0.203{col 60}-.040686{col 73} .008646
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-80Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    96344{col 34}    58199{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    49030{col 34}    27023{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.960{col 34}    1.960
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.960{col 34}    1.960
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    49250{col 34}    38625
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01904{col 33}  .0114{col 43}-1.6706{col 52}0.095{col 60}-.041382{col 73} .003298
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00638{col 33}  .0114{col 43}-0.5596{col 52}0.576{col 60}-.028718{col 73} .015962
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00638{col 33} .01327{col 43}-0.4806{col 52}0.631{col 60}-.032387{col 73} .019631
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-70Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    98551{col 34}    55992{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    50572{col 34}    26237{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.017{col 34}    2.017
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.017{col 34}    2.017
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    50578{col 34}    37297
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00207{col 33} .01178{col 43}-0.1757{col 52}0.861{col 60}-.025168{col 73} .021028
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00839{col 33} .01178{col 43}-0.7120{col 52}0.476{col 60}-.031488{col 73} .014708
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00839{col 33} .01318{col 43}-0.6368{col 52}0.524{col 60}-.034215{col 73} .017435
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-60Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   100666{col 34}    53877{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    53604{col 34}    26408{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.178{col 34}    2.178
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.178{col 34}    2.178
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    51822{col 34}    36053
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00782{col 33} .01149{col 43}0.6805{col 52}0.496{col 60}-.014705{col 73} .030347
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03576{col 33} .01149{col 43}-3.1117{col 52}0.002{col 60}-.058289{col 73}-.013237
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03576{col 33} .01309{col 43}-2.7317{col 52}0.006{col 60}-.061423{col 73}-.010103
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-50Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   102654{col 34}    51889{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    55592{col 34}    25984{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.278{col 34}    2.278
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.278{col 34}    2.278
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    53022{col 34}    34853
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0211{col 33} .01128{col 43}1.8699{col 52}0.061{col 60}-.001016{col 73} .043219
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03346{col 33} .01128{col 43}-2.9652{col 52}0.003{col 60}-.055579{col 73}-.011344
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03346{col 33} .01319{col 43}-2.5367{col 52}0.011{col 60}-.059316{col 73}-.007607
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-40Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   104400{col 34}    50143{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    59160{col 34}    26450{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.496{col 34}    2.496
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.496{col 34}    2.496
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    54096{col 34}    33779
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05148{col 33} .01148{col 43}4.4840{col 52}0.000{col 60} .028976{col 73} .073976
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00658{col 33} .01148{col 43}-0.5730{col 52}0.567{col 60}-.029078{col 73} .015922
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00658{col 33} .01253{col 43}-0.5251{col 52}0.600{col 60}-.031131{col 73} .017975
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-30Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   106034{col 34}    48509{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    62910{col 34}    26930{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.750{col 34}    2.750
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.750{col 34}    2.750
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    55140{col 34}    32735
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .08784{col 33} .01147{col 43}7.6591{col 52}0.000{col 60} .065363{col 73} .110321
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03187{col 33} .01147{col 43}2.7791{col 52}0.005{col 60} .009395{col 73} .054353
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03187{col 33} .01248{col 43}2.5533{col 52}0.011{col 60} .007407{col 73} .056341
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-20Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   107630{col 34}    46913{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    68931{col 34}    28351{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.237{col 34}    3.237
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.237{col 34}    3.237
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56196{col 34}    31679
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .10892{col 33} .01088{col 43}10.0094{col 52}0.000{col 60} .087594{col 73} .130252
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05797{col 33} .01088{col 43}5.3267{col 52}0.000{col 60} .036637{col 73} .079294
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05797{col 33} .01255{col 43}4.6194{col 52}0.000{col 60} .033371{col 73}  .08256
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-10Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    70910{col 34}    28672{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.432{col 34}    3.432
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.432{col 34}    3.432
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .1112{col 33} .01057{col 43}10.5212{col 52}0.000{col 60} .090485{col 73} .131915
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04091{col 33} .01057{col 43}3.8704{col 52}0.000{col 60} .020192{col 73} .061622
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04091{col 33}  .0126{col 43}3.2459{col 52}0.001{col 60} .016206{col 73} .065608
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake0Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   109477{col 34}    45066{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    69568{col 34}    27754{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.328{col 34}    3.328
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.328{col 34}    3.328
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    57656{col 34}    30219
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .08519{col 33} .01019{col 43}8.3628{col 52}0.000{col 60} .065226{col 73} .105158
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01054{col 33} .01019{col 43}1.0342{col 52}0.301{col 60}-.009431{col 73} .030502
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01054{col 33} .01256{col 43}0.8387{col 52}0.402{col 60}-.014083{col 73} .035154
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake10Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   110873{col 34}    43670{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    64338{col 34}    24977{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.910{col 34}    2.910
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.910{col 34}    2.910
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    58622{col 34}    29253
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04031{col 33} .01061{col 43}3.7996{col 52}0.000{col 60} .019516{col 73} .061101
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00675{col 33} .01061{col 43}-0.6362{col 52}0.525{col 60}-.027541{col 73} .014044
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00675{col 33} .01475{col 43}-0.4577{col 52}0.647{col 60} -.03565{col 73} .022152
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake20Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   112241{col 34}    42302{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    62282{col 34}    23526{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.794{col 34}    2.794
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.794{col 34}    2.794
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    59497{col 34}    28378
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00444{col 33} .01111{col 43}0.3999{col 52}0.689{col 60}-.017325{col 73} .026207
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02894{col 33} .01111{col 43}-2.6057{col 52}0.009{col 60}-.050704{col 73}-.007171
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02894{col 33} .01577{col 43}-1.8348{col 52}0.067{col 60}-.059849{col 73} .001973
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake30Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113524{col 34}    41019{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    60576{col 34}    22383{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.725{col 34}    2.725
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.725{col 34}    2.725
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    60308{col 34}    27567
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02822{col 33} .01159{col 43}-2.4349{col 52}0.015{col 60}-.050929{col 73}-.005504
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05189{col 33} .01159{col 43}-4.4778{col 52}0.000{col 60}-.074604{col 73}-.029178
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05189{col 33} .01675{col 43}-3.0986{col 52}0.002{col 60}-.084714{col 73}-.019068
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake40Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114800{col 34}    39743{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    58404{col 34}    21272{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.655{col 34}    2.655
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.655{col 34}    2.655
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    61134{col 34}    26741
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05355{col 33} .01207{col 43}-4.4351{col 52}0.000{col 60}-.077209{col 73}-.029883
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06005{col 33} .01207{col 43}-4.9736{col 52}0.000{col 60}-.083711{col 73}-.036384
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06005{col 33} .01677{col 43}-3.5807{col 52}0.000{col 60}-.092916{col 73} -.02718
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake50Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   116071{col 34}    38472{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    55434{col 34}    20057{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.567{col 34}    2.567
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.567{col 34}    2.567
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    61905{col 34}    25970
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07042{col 33} .01326{col 43}-5.3103{col 52}0.000{col 60}-.096411{col 73}-.044429
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05521{col 33} .01326{col 43}-4.1634{col 52}0.000{col 60}-.081201{col 73}-.029219
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05521{col 33} .01729{col 43}-3.1940{col 52}0.001{col 60} -.08909{col 73}-.021331
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake60Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   117297{col 34}    37246{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    53014{col 34}    19065{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.522{col 34}    2.522
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.522{col 34}    2.522
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    62677{col 34}    25198
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06388{col 33} .01414{col 43}-4.5183{col 52}0.000{col 60} -.09159{col 73} -.03617
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01187{col 33} .01414{col 43}-0.8394{col 52}0.401{col 60}-.039577{col 73} .015843
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01187{col 33} .01742{col 43}-0.6814{col 52}0.496{col 60}-.046003{col 73} .022269
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake70Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   118448{col 34}    36095{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    51648{col 34}    18346{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.525{col 34}    2.525
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.525{col 34}    2.525
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    63367{col 34}    24508
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07153{col 33} .01515{col 43}-4.7224{col 52}0.000{col 60}-.101217{col 73}-.041842
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01326{col 33} .01515{col 43}-0.8753{col 52}0.381{col 60}-.042945{col 73} .016429
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01326{col 33} .01767{col 43}-0.7502{col 52}0.453{col 60}-.047895{col 73} .021379
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake80Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   119606{col 34}    34937{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    49247{col 34}    17537{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.505{col 34}    2.505
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.505{col 34}    2.505
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    64072{col 34}    23803
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09115{col 33} .01526{col 43}-5.9738{col 52}0.000{col 60}-.121054{col 73}-.061243
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03862{col 33} .01526{col 43}-2.5313{col 52}0.011{col 60}-.068529{col 73}-.008718
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03862{col 33} .01685{col 43}-2.2917{col 52}0.022{col 60}-.071655{col 73}-.005591
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake90Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   120706{col 34}    33837{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    47546{col 34}    16833{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.509{col 34}    2.509
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.509{col 34}    2.509
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    64757{col 34}    23118
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07798{col 33} .01554{col 43}-5.0195{col 52}0.000{col 60}-.108428{col 73}-.047531
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01623{col 33} .01554{col 43}-1.0450{col 52}0.296{col 60}-.046683{col 73} .014215
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01623{col 33} .01672{col 43}-0.9707{col 52}0.332{col 60}-.049011{col 73} .016543
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake100Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   121768{col 34}    32775{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    46170{col 34}    16259{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.528{col 34}    2.528
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.528{col 34}    2.528
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    65429{col 34}    22446
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06237{col 33} .01552{col 43}-4.0196{col 52}0.000{col 60}-.092782{col 73}-.031959
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00538{col 33} .01552{col 43}0.3469{col 52}0.729{col 60}-.025028{col 73} .035795
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00538{col 33} .01746{col 43}0.3083{col 52}0.758{col 60} -.02884{col 73} .039606
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake110Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122747{col 34}    31796{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    44847{col 34}    15734{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.551{col 34}    2.551
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.551{col 34}    2.551
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    66056{col 34}    21819
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05717{col 33} .01522{col 43}-3.7570{col 52}0.000{col 60}-.086993{col 73}-.027345
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01143{col 33} .01522{col 43}0.7515{col 52}0.452{col 60}-.018389{col 73} .041259
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01143{col 33}  .0176{col 43}0.6497{col 52}0.516{col 60} -.02306{col 73} .045929
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake120Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   123757{col 34}    30786{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    48167{col 34}    15626{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.728{col 34}    2.728
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.728{col 34}    2.728
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    66661{col 34}    21214
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02865{col 33} .01545{col 43}-1.8540{col 52}0.064{col 60}-.058939{col 73} .001638
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .07872{col 33} .01545{col 43}5.0942{col 52}0.000{col 60} .048434{col 73} .109011
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .07872{col 33} .01777{col 43}4.4305{col 52}0.000{col 60} .043897{col 73} .113548
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake130Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   124638{col 34}    29905{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    46020{col 34}    15083{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.728{col 34}    2.728
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.728{col 34}    2.728
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67222{col 34}    20653
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03229{col 33} .01511{col 43}-2.1373{col 52}0.033{col 60}-.061901{col 73} -.00268
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .06661{col 33} .01511{col 43}4.4093{col 52}0.000{col 60} .037004{col 73} .096225
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .06661{col 33} .01804{col 43}3.6926{col 52}0.000{col 60} .031257{col 73} .101972
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake140Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125567{col 34}    28976{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    45994{col 34}    14679{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.797{col 34}    2.797
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.797{col 34}    2.797
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67799{col 34}    20076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04007{col 33} .01511{col 43}-2.6525{col 52}0.008{col 60}-.069675{col 73}-.010462
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05596{col 33} .01511{col 43}3.7046{col 52}0.000{col 60} .026355{col 73} .085568
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05596{col 33} .01875{col 43}2.9838{col 52}0.003{col 60} .019202{col 73} .092721
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake150Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   126431{col 34}    28112{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    44959{col 34}    14213{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.836{col 34}    2.836
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.836{col 34}    2.836
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    68326{col 34}    19549
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04233{col 33} .01509{col 43}-2.8041{col 52}0.005{col 60}-.071911{col 73}-.012742
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04124{col 33} .01509{col 43}2.7320{col 52}0.006{col 60} .011654{col 73} .070823
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04124{col 33} .01833{col 43}2.2502{col 52}0.024{col 60} .005319{col 73} .077157
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake160Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   127249{col 34}    27294{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    46660{col 34}    14005{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.965{col 34}    2.965
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.965{col 34}    2.965
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    68806{col 34}    19069
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04263{col 33} .01497{col 43}-2.8473{col 52}0.004{col 60}-.071979{col 73}-.013286
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0358{col 33} .01497{col 43}2.3907{col 52}0.017{col 60} .006449{col 73} .065142
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0358{col 33} .01806{col 43}1.9818{col 52}0.048{col 60} .000394{col 73} .071197
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake170Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   128060{col 34}    26483{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    49684{col 34}    13888{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.134{col 34}    3.134
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.134{col 34}    3.134
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    69289{col 34}    18586
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04124{col 33} .01539{col 43}-2.6799{col 52}0.007{col 60}-.071399{col 73}-.011078
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05974{col 33} .01539{col 43}3.8819{col 52}0.000{col 60} .029576{col 73} .089897
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05974{col 33} .01813{col 43}3.2945{col 52}0.001{col 60} .024198{col 73} .095275
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake180Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   128807{col 34}    25736{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    49860{col 34}    13573{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.217{col 34}    3.217
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.217{col 34}    3.217
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    69778{col 34}    18097
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03997{col 33} .01561{col 43}-2.5604{col 52}0.010{col 60}-.070558{col 73}-.009372
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05627{col 33} .01561{col 43}3.6047{col 52}0.000{col 60} .025673{col 73} .086859
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05627{col 33} .01875{col 43}3.0001{col 52}0.003{col 60} .019507{col 73} .093025
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake190Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   129465{col 34}    25078{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    54227{col 34}    13636{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.440{col 34}    3.440
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.440{col 34}    3.440
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70198{col 34}    17677
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04882{col 33} .01612{col 43}-3.0293{col 52}0.002{col 60}-.080403{col 73}-.017233
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .06395{col 33} .01612{col 43}3.9685{col 52}0.000{col 60} .032368{col 73} .095539
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .06395{col 33} .01877{col 43}3.4075{col 52}0.001{col 60} .027168{col 73} .100739
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake200Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   130153{col 34}    24390{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    53093{col 34}    13230{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.479{col 34}    3.479
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.479{col 34}    3.479
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70642{col 34}    17233
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04672{col 33} .01572{col 43}-2.9716{col 52}0.003{col 60}-.077542{col 73}-.015907
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04698{col 33} .01572{col 43}2.9880{col 52}0.003{col 60} .016165{col 73}   .0778
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04698{col 33} .01915{col 43}2.4539{col 52}0.014{col 60} .009458{col 73} .084507
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake210Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   130872{col 34}    23671{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    59821{col 34}    13319{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.779{col 34}    3.779
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.779{col 34}    3.779
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71099{col 34}    16776
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06181{col 33} .01558{col 43}-3.9683{col 52}0.000{col 60}-.092334{col 73} -.03128
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05735{col 33} .01558{col 43}3.6823{col 52}0.000{col 60} .026826{col 73} .087879
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05735{col 33} .01825{col 43}3.1432{col 52}0.002{col 60}  .02159{col 73} .093115
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake220Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   131498{col 34}    23045{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    63375{col 34}    13206{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.980{col 34}    3.980
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.980{col 34}    3.980
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71492{col 34}    16383
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07597{col 33} .01592{col 43}-4.7722{col 52}0.000{col 60}-.107169{col 73}-.044768
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .06005{col 33} .01592{col 43}3.7721{col 52}0.000{col 60} .028848{col 73} .091249
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .06005{col 33} .01802{col 43}3.3325{col 52}0.001{col 60} .024732{col 73} .095365
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake230Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   132091{col 34}    22452{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    71733{col 34}    13400{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.379{col 34}    4.379
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.379{col 34}    4.379
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71882{col 34}    15993
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.1034{col 33} .01642{col 43}-6.2987{col 52}0.000{col 60}-.135575{col 73}-.071225
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05598{col 33} .01642{col 43}3.4102{col 52}0.001{col 60} .023807{col 73} .088157
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05598{col 33} .01775{col 43}3.1541{col 52}0.002{col 60} .021194{col 73}  .09077
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake240Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   132658{col 34}    21885{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    75215{col 34}    13262{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.604{col 34}    4.604
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.604{col 34}    4.604
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72239{col 34}    15636
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.11239{col 33} .01635{col 43}-6.8720{col 52}0.000{col 60}-.144442{col 73}-.080334
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05828{col 33} .01635{col 43}3.5638{col 52}0.000{col 60} .026229{col 73} .090337
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05828{col 33} .01784{col 43}3.2669{col 52}0.001{col 60} .023316{col 73} .093251
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake250Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   133240{col 34}    21303{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    83016{col 34}    13400{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.077{col 34}    5.077
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.077{col 34}    5.077
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72598{col 34}    15277
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.14658{col 33} .01677{col 43}-8.7432{col 52}0.000{col 60}-.179439{col 73}-.113721
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03213{col 33} .01677{col 43}1.9166{col 52}0.055{col 60}-.000726{col 73} .064992
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03213{col 33} .01734{col 43}1.8534{col 52}0.064{col 60}-.001847{col 73} .066113
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake260Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   133787{col 34}    20756{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    87233{col 34}    13331{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.409{col 34}    5.409
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.409{col 34}    5.409
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72967{col 34}    14908
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.1579{col 33} .01656{col 43}-9.5359{col 52}0.000{col 60}-.190358{col 73}-.125448
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02934{col 33} .01656{col 43}1.7721{col 52}0.076{col 60}-.003111{col 73} .061798
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02934{col 33} .01682{col 43}1.7448{col 52}0.081{col 60}-.003619{col 73} .062306
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake270Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   134324{col 34}    20219{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    82405{col 34}    12668{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.182{col 34}    5.182
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.182{col 34}    5.182
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73307{col 34}    14568
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.12111{col 33} .01654{col 43}-7.3231{col 52}0.000{col 60}-.153525{col 73}-.088696
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .07327{col 33} .01654{col 43}4.4305{col 52}0.000{col 60} .040858{col 73} .105687
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .07327{col 33} .01735{col 43}4.2239{col 52}0.000{col 60} .039272{col 73} .107273
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake280Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   134826{col 34}    19717{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    78997{col 34}    12168{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.082{col 34}    5.082
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.082{col 34}    5.082
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73627{col 34}    14248
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.10423{col 33} .01642{col 43}-6.3477{col 52}0.000{col 60}-.136409{col 73}-.072045
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .07544{col 33} .01642{col 43}4.5944{col 52}0.000{col 60} .043257{col 73} .107621
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .07544{col 33} .01848{col 43}4.0830{col 52}0.000{col 60} .039226{col 73} .111652
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake290Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   135335{col 34}    19208{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    64793{col 34}    11206{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.598{col 34}    4.598
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.598{col 34}    4.598
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73943{col 34}    13932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01779{col 33} .01616{col 43}-1.1007{col 52}0.271{col 60}-.049464{col 73} .013886
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08653{col 33} .01616{col 43}5.3540{col 52}0.000{col 60}  .05485{col 73}   .1182
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08653{col 33} .02064{col 43}4.1916{col 52}0.000{col 60} .046066{col 73} .126984
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake300Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Finland.dta{rm}
saved
{p_end}

{com}. 
. preserve        
{txt}
{com}.         
. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}.         
. levelsof country, local(election)
{res}{txt}`"Brazil"' `"Colombia"' `"Denmark"' `"Finland"'

{com}.         foreach x of local election {c -(}
{txt}  2{com}.                 use "fake-300`x'.dta", clear
{txt}  3{com}.                 forvalues i=-290(10)300 {c -(}
{txt}  4{com}.                 append using fake`i'`x'.dta
{txt}  5{com}.                 {c )-}       
{txt}  6{com}. 
. duplicates drop cutoff parm, force
{txt}  7{com}. 
. twoway (rline min95 max95 cutoff if parm=="Conventional", plotregion(lcolor(black)) ylabel(,format(%9.2f)) lpattern(dash) lcolor(gray) xlabel(-3(1)3, format(%9.0f)) subtitle("Conventional, p = 2, MSE", position(11)) legend(off) xtitle("Cutoff") ytitle(Estimated effect)  graphregion(color(white))  xline(0, lcolor(cranberry)) yline(0, lcolor(black) lwidth(vthin))) (scatter estimate cutoff if parm=="Conventional", connect(direct) lcolor(black) msymbol(none))
{txt}  8{com}. graph save "$dir/temp/fakecutoff1_`x'2a.gph", replace
{txt}  9{com}. twoway (rline min95 max95 cutoff if parm=="Robust", plotregion(lcolor(black)) ylabel(,format(%9.2f)) lpattern(dash) lcolor(gray) xlabel(-3(1)3, format(%9.0f)) subtitle("Robust, p = 2, MSE", position(11)) legend(off) xtitle("Cutoff") ytitle(Estimated effect)  graphregion(color(white))  xline(0, lcolor(cranberry)) yline(0, lcolor(black) lwidth(vthin))) (scatter estimate cutoff if parm=="Robust", connect(direct) lcolor(black) msymbol(none))
{txt} 10{com}. graph save "$dir/temp/fakecutoff2_`x'2a.gph", replace
{txt} 11{com}.         {c )-}

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Brazil2a.gph} saved
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Brazil2a.gph} saved

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Colombia2a.gph} saved
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Colombia2a.gph} saved

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Denmark2a.gph} saved
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Denmark2a.gph} saved

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Finland2a.gph} saved
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Finland2a.gph} saved

{com}. restore
{txt}
{com}. 
. est clear
{txt}
{com}. 
. // p = 2, CER-optimal bandwidths
. 
. levelsof country, local(election)
{res}{txt}`"Brazil"' `"Colombia"' `"Denmark"' `"Finland"'

{com}.                 foreach x of local election {c -(}
{txt}  2{com}.                 preserve
{txt}  3{com}.                 forvalues i=-300(10)300 {c -(}
{txt}  4{com}.                         local k = `i'/100
{txt}  5{com}.                         rdrobust electednextelection rv if rv!=0 & country=="`x'", all p(2) rho(1) c(`k') vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{txt}  6{com}.                         parmest, saving("fake`i'`x'.dta", replace)
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}. 
.                 forvalues i=-300(10)300 {c -(}
{txt}  9{com}. 
.                         use fake`i'`x'.dta, clear
{txt} 10{com}.                         gen cutoff =`i'/100
{txt} 11{com}.                         save, replace
{txt} 12{com}.                         sleep 500
{txt} 13{com}.                 {c )-}
{txt} 14{com}.                 restore
{txt} 15{com}.         {c )-}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   417254{col 34}   179006{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    75927{col 34}    61109{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.639{col 34}    2.639
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.639{col 34}    2.639
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   282598{col 34}   131787
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5550{col 34}     5556

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00715{col 33} .00485{col 43}1.4740{col 52}0.140{col 60}-.002358{col 73} .016664
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00939{col 33} .00485{col 43}1.9352{col 52}0.053{col 60} -.00012{col 73} .018902
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00939{col 33} .00641{col 43}1.4643{col 52}0.143{col 60}-.003179{col 73} .021961
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-300Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   419929{col 34}   176331{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    72636{col 34}    58636{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.549{col 34}    2.549
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.549{col 34}    2.549
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   284414{col 34}   129971
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5553{col 34}     5557

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00443{col 33} .00508{col 43}0.8717{col 52}0.383{col 60}-.005524{col 73} .014375
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00478{col 33} .00508{col 43}0.9419{col 52}0.346{col 60}-.005168{col 73} .014731
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00478{col 33} .00673{col 43}0.7105{col 52}0.477{col 60}-.008409{col 73} .017972
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-290Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   422470{col 34}   173790{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    69975{col 34}    56819{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.484{col 34}    2.484
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.484{col 34}    2.484
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   286147{col 34}   128238
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5547{col 34}     5559

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00073{col 33} .00524{col 43}0.1397{col 52}0.889{col 60}-.009542{col 73} .011006
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0016{col 33} .00524{col 43}-0.3060{col 52}0.760{col 60}-.011878{col 73}  .00867
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0016{col 33} .00696{col 43}-0.2305{col 52}0.818{col 60}-.015246{col 73} .012038
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-280Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   425024{col 34}   171236{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    67095{col 34}    54795{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.412{col 34}    2.412
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.412{col 34}    2.412
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   287869{col 34}   126516
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5546{col 34}     5559

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00218{col 33} .00544{col 43}-0.4008{col 52}0.689{col 60} -.01284{col 73}  .00848
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00943{col 33} .00544{col 43}-1.7331{col 52}0.083{col 60}-.020086{col 73} .001234
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00943{col 33} .00719{col 43}-1.3118{col 52}0.190{col 60}-.023509{col 73} .004658
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-270Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   427590{col 34}   168670{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    65619{col 34}    53578{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.378{col 34}    2.378
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.378{col 34}    2.378
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   289607{col 34}   124778
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5544{col 34}     5559

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00451{col 33} .00558{col 43}-0.8088{col 52}0.419{col 60}-.015453{col 73} .006425
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01575{col 33} .00558{col 43}-2.8228{col 52}0.005{col 60}-.026693{col 73}-.004816
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01575{col 33} .00736{col 43}-2.1395{col 52}0.032{col 60}-.030187{col 73}-.001322
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-260Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   429942{col 34}   166318{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    64336{col 34}    52849{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.358{col 34}    2.358
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.358{col 34}    2.358
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   291259{col 34}   123126
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5543{col 34}     5558

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00124{col 33} .00575{col 43}-0.2160{col 52}0.829{col 60}-.012505{col 73} .010023
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01276{col 33} .00575{col 43}-2.2207{col 52}0.026{col 60}-.024027{col 73}-.001499
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01276{col 33} .00749{col 43}-1.7044{col 52}0.088{col 60}-.027439{col 73} .001914
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-250Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   432367{col 34}   163893{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    63562{col 34}    52229{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.353{col 34}    2.353
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.353{col 34}    2.353
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   292951{col 34}   121434
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5540{col 34}     5558

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0053{col 33}  .0058{col 43}0.9139{col 52}0.361{col 60}-.006062{col 73} .016655
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0107{col 33}  .0058{col 43}-1.8456{col 52}0.065{col 60}-.022055{col 73} .000663
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0107{col 33} .00747{col 43}-1.4323{col 52}0.152{col 60}-.025333{col 73} .003941
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-240Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   434827{col 34}   161433{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    64058{col 34}    51232{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.385{col 34}    2.385
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.385{col 34}    2.385
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   294623{col 34}   119762
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5542{col 34}     5557

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00819{col 33} .00589{col 43}1.3902{col 52}0.164{col 60}-.003355{col 73} .019729
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00646{col 33} .00589{col 43}1.0976{col 52}0.272{col 60}-.005078{col 73} .018005
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00646{col 33} .00772{col 43}0.8369{col 52}0.403{col 60}-.008673{col 73}   .0216
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-230Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   437158{col 34}   159102{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    64598{col 34}    51617{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.425{col 34}    2.425
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.425{col 34}    2.425
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   296222{col 34}   118163
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5543{col 34}     5554

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00806{col 33} .00597{col 43}1.3505{col 52}0.177{col 60}-.003637{col 73} .019757
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02045{col 33} .00597{col 43}3.4265{col 52}0.001{col 60} .008752{col 73} .032147
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02045{col 33} .00796{col 43}2.5677{col 52}0.010{col 60}  .00484{col 73} .036059
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-220Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   439473{col 34}   156787{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    64099{col 34}    51291{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.428{col 34}    2.428
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.428{col 34}    2.428
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   297810{col 34}   116575
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5543{col 34}     5549

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  -.003{col 33} .00609{col 43}-0.4916{col 52}0.623{col 60}-.014939{col 73} .008947
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01515{col 33} .00609{col 43}2.4859{col 52}0.013{col 60} .003205{col 73} .027091
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01515{col 33} .00815{col 43}1.8581{col 52}0.063{col 60} -.00083{col 73} .031126
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-210Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   441746{col 34}   154514{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    64196{col 34}    51459{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.453{col 34}    2.453
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.453{col 34}    2.453
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   299412{col 34}   114973
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5545{col 34}     5549

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01372{col 33} .00623{col 43}-2.2036{col 52}0.028{col 60}-.025928{col 73}-.001517
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01097{col 33} .00623{col 43}1.7614{col 52}0.078{col 60}-.001237{col 73} .023174
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01097{col 33}  .0082{col 43}1.3383{col 52}0.181{col 60}-.005096{col 73} .027033
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-200Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   444204{col 34}   152056{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    65407{col 34}    51954{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.508{col 34}    2.508
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.508{col 34}    2.508
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   301070{col 34}   113315
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5547{col 34}     5538

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0154{col 33} .00626{col 43}-2.4597{col 52}0.014{col 60}-.027665{col 73}-.003128
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00556{col 33} .00626{col 43}0.8886{col 52}0.374{col 60}-.006706{col 73}  .01783
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00556{col 33} .00814{col 43}0.6836{col 52}0.494{col 60}-.010385{col 73} .021508
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-190Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   446600{col 34}   149660{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    66967{col 34}    52590{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.578{col 34}    2.578
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.578{col 34}    2.578
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   302667{col 34}   111718
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5551{col 34}     5531

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01799{col 33} .00635{col 43}-2.8335{col 52}0.005{col 60}-.030427{col 73}-.005545
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00194{col 33} .00635{col 43}0.3050{col 52}0.760{col 60}-.010505{col 73} .014377
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00194{col 33} .00817{col 43}0.2370{col 52}0.813{col 60}-.014071{col 73} .017943
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-180Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   449030{col 34}   147230{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    68941{col 34}    53493{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.662{col 34}    2.662
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.662{col 34}    2.662
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   304324{col 34}   110061
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5552{col 34}     5522

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01238{col 33} .00645{col 43}-1.9186{col 52}0.055{col 60} -.02502{col 73} .000267
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00187{col 33} .00645{col 43}-0.2895{col 52}0.772{col 60}-.014511{col 73} .010776
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00187{col 33}  .0082{col 43}-0.2279{col 52}0.820{col 60} -.01793{col 73} .014195
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-170Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   451305{col 34}   144955{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    69581{col 34}    53794{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.705{col 34}    2.705
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.705{col 34}    2.705
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   305923{col 34}   108462
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5549{col 34}     5507

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01366{col 33} .00658{col 43}-2.0773{col 52}0.038{col 60}-.026558{col 73}-.000772
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00924{col 33} .00658{col 43}-1.4051{col 52}0.160{col 60}-.022136{col 73}  .00365
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00924{col 33} .00838{col 43}-1.1025{col 52}0.270{col 60}-.025675{col 73} .007189
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-160Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   453634{col 34}   142626{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    69627{col 34}    53596{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.726{col 34}    2.726
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.726{col 34}    2.726
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   307533{col 34}   106852
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5549{col 34}     5489

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01351{col 33} .00669{col 43}-2.0211{col 52}0.043{col 60}-.026616{col 73}-.000408
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00879{col 33} .00669{col 43}-1.3150{col 52}0.188{col 60}-.021896{col 73} .004312
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00879{col 33} .00851{col 43}-1.0329{col 52}0.302{col 60}-.025475{col 73} .007891
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-150Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   455997{col 34}   140263{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    70736{col 34}    54009{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.784{col 34}    2.784
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.784{col 34}    2.784
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   309168{col 34}   105217
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5550{col 34}     5468

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0099{col 33} .00674{col 43}-1.4688{col 52}0.142{col 60} -.02312{col 73} .003312
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01045{col 33} .00674{col 43}-1.5492{col 52}0.121{col 60}-.023662{col 73}  .00277
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01045{col 33}  .0086{col 43}-1.2150{col 52}0.224{col 60}-.027297{col 73} .006405
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-140Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   458277{col 34}   137983{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    69124{col 34}    52799{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.749{col 34}    2.749
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.749{col 34}    2.749
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   310746{col 34}   103639
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5550{col 34}     5480

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00274{col 33} .00688{col 43}-0.3978{col 52}0.691{col 60}-.016215{col 73} .010743
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00799{col 33} .00688{col 43}-1.1622{col 52}0.245{col 60}-.021472{col 73} .005487
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00799{col 33} .00887{col 43}-0.9016{col 52}0.367{col 60}-.025368{col 73} .009383
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-130Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   460455{col 34}   135805{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    68326{col 34}    52197{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.742{col 34}    2.742
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.742{col 34}    2.742
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   312256{col 34}   102129
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5552{col 34}     5498

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0025{col 33} .00697{col 43}0.3591{col 52}0.719{col 60}-.011163{col 73} .016171
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00567{col 33} .00697{col 43}-0.8135{col 52}0.416{col 60} -.01934{col 73} .007994
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00567{col 33} .00906{col 43}-0.6262{col 52}0.531{col 60}-.023428{col 73} .012083
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-120Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   462704{col 34}   133556{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    67024{col 34}    51186{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.714{col 34}    2.714
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.714{col 34}    2.714
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   313770{col 34}   100615
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5553{col 34}     5511

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00143{col 33} .00712{col 43}0.2006{col 52}0.841{col 60}-.012532{col 73} .015391
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00876{col 33} .00712{col 43}-1.2304{col 52}0.219{col 60}-.022726{col 73} .005197
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00876{col 33} .00935{col 43}-0.9376{col 52}0.348{col 60}-.027087{col 73} .009558
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-110Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   464822{col 34}   131438{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    66993{col 34}    50995{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.736{col 34}    2.736
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.736{col 34}    2.736
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   315242{col 34}    99143
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5555{col 34}     5526

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00829{col 33} .00721{col 43}1.1492{col 52}0.250{col 60}-.005846{col 73} .022418
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01011{col 33} .00721{col 43}-1.4028{col 52}0.161{col 60}-.024246{col 73} .004017
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01011{col 33} .00944{col 43}-1.0712{col 52}0.284{col 60} -.02862{col 73} .008391
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-100Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   466962{col 34}   129298{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    64243{col 34}    49071{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.650{col 34}    2.650
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.650{col 34}    2.650
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   316702{col 34}    97683
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5555{col 34}     5527

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00643{col 33}  .0074{col 43}0.8684{col 52}0.385{col 60}-.008079{col 73} .020934
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01408{col 33}  .0074{col 43}-1.9021{col 52}0.057{col 60}-.028585{col 73} .000428
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01408{col 33} .00969{col 43}-1.4532{col 52}0.146{col 60}-.033067{col 73}  .00491
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-90Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   469107{col 34}   127153{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    65564{col 34}    49763{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.721{col 34}    2.721
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.721{col 34}    2.721
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   318169{col 34}    96216
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5556{col 34}     5540

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0145{col 33} .00742{col 43}1.9546{col 52}0.051{col 60}-.000039{col 73}  .02904
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00455{col 33} .00742{col 43}-0.6136{col 52}0.539{col 60}-.019092{col 73} .009988
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00455{col 33}  .0097{col 43}-0.4692{col 52}0.639{col 60}-.023568{col 73} .014464
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-80Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   471184{col 34}   125076{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    64503{col 34}    49018{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.708{col 34}    2.708
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.708{col 34}    2.708
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   319643{col 34}    94742
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5550

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00628{col 33} .00742{col 43}0.8455{col 52}0.398{col 60}-.008272{col 73} .020824
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0192{col 33} .00742{col 43}-2.5872{col 52}0.010{col 60}-.033752{col 73}-.004656
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0192{col 33} .00974{col 43}-1.9711{col 52}0.049{col 60}-.038299{col 73}-.000108
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-70Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   473355{col 34}   122905{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    63508{col 34}    48100{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.687{col 34}    2.687
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.687{col 34}    2.687
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   321154{col 34}    93231
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5549

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01891{col 33} .00757{col 43}2.4994{col 52}0.012{col 60} .004082{col 73} .033742
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00104{col 33} .00757{col 43}-0.1377{col 52}0.890{col 60}-.015872{col 73} .013788
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00104{col 33} .00992{col 43}-0.1050{col 52}0.916{col 60}-.020491{col 73} .018407
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-60Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   475449{col 34}   120811{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    66028{col 34}    49237{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.804{col 34}    2.804
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.804{col 34}    2.804
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   322586{col 34}    91799
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5555

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02967{col 33} .00757{col 43}3.9173{col 52}0.000{col 60} .014823{col 73} .044508
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01796{col 33} .00757{col 43}2.3714{col 52}0.018{col 60} .003115{col 73} .032801
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01796{col 33} .00994{col 43}1.8058{col 52}0.071{col 60}-.001533{col 73} .037449
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-50Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   477537{col 34}   118723{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    68045{col 34}    49971{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.901{col 34}    2.901
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.901{col 34}    2.901
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   324054{col 34}    90331
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5559{col 34}     5556

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03373{col 33} .00757{col 43}4.4569{col 52}0.000{col 60} .018897{col 73} .048562
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03281{col 33} .00757{col 43}4.3358{col 52}0.000{col 60}  .01798{col 73} .047645
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03281{col 33} .00999{col 43}3.2859{col 52}0.001{col 60} .013241{col 73} .052384
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-40Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   479583{col 34}   116677{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    69902{col 34}    50623{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.994{col 34}    2.994
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.994{col 34}    2.994
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   325497{col 34}    88888
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5560{col 34}     5557

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02861{col 33} .00757{col 43}3.7775{col 52}0.000{col 60} .013767{col 73} .043461
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0377{col 33} .00757{col 43}4.9767{col 52}0.000{col 60} .022852{col 73} .052545
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0377{col 33} .01017{col 43}3.7053{col 52}0.000{col 60} .017758{col 73}  .05764
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-30Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   481621{col 34}   114639{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    67488{col 34}    48961{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.921{col 34}    2.921
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.921{col 34}    2.921
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   326948{col 34}    87437
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5560{col 34}     5558

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}   .014{col 33} .00789{col 43}1.7735{col 52}0.076{col 60}-.001472{col 73} .029472
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02405{col 33} .00789{col 43}3.0472{col 52}0.002{col 60} .008583{col 73} .039526
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02405{col 33}  .0106{col 43}2.2701{col 52}0.023{col 60} .003287{col 73} .044822
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-20Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   483631{col 34}   112629{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    63342{col 34}    46465{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.785{col 34}    2.785
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.785{col 34}    2.785
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   328447{col 34}    85938
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5559{col 34}     5557

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01015{col 33} .00829{col 43}-1.2240{col 52}0.221{col 60}-.026394{col 73} .006101
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00324{col 33} .00829{col 43}-0.3908{col 52}0.696{col 60}-.019487{col 73} .013008
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00324{col 33} .01138{col 43}-0.2846{col 52}0.776{col 60}-.025548{col 73} .019069
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-10Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   484988{col 34}   111272{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    56578{col 34}    43392{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.565{col 34}    2.565
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.565{col 34}    2.565
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   329612{col 34}    84773
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5559{col 34}     5557

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03555{col 33} .00894{col 43}-3.9773{col 52}0.000{col 60}-.053061{col 73}-.018029
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05764{col 33} .00894{col 43}-6.4493{col 52}0.000{col 60}-.075153{col 73}-.040121
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05764{col 33} .01234{col 43}-4.6721{col 52}0.000{col 60}-.081816{col 73}-.033458
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake0Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   486336{col 34}   109924{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    55982{col 34}    43750{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.584{col 34}    2.584
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.584{col 34}    2.584
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   330780{col 34}    83605
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5556

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03875{col 33} .00879{col 43}-4.4079{col 52}0.000{col 60}-.055976{col 73}-.021518
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04109{col 33} .00879{col 43}-4.6740{col 52}0.000{col 60}-.058315{col 73}-.023857
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04109{col 33} .01184{col 43}-3.4694{col 52}0.001{col 60}-.064296{col 73}-.017876
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake10Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   488275{col 34}   107985{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    58254{col 34}    44764{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.697{col 34}    2.697
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.697{col 34}    2.697
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   332243{col 34}    82142
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5558

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03396{col 33} .00864{col 43}-3.9316{col 52}0.000{col 60}-.050888{col 73} -.01703
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03003{col 33} .00864{col 43}-3.4768{col 52}0.001{col 60} -.04696{col 73}-.013102
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03003{col 33} .01138{col 43}-2.6399{col 52}0.008{col 60}-.052327{col 73}-.007734
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake20Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   490255{col 34}   106005{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    57042{col 34}    43683{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.664{col 34}    2.664
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.664{col 34}    2.664
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   333651{col 34}    80734
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5558

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03602{col 33} .00868{col 43}-4.1491{col 52}0.000{col 60} -.05303{col 73}-.019003
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02974{col 33} .00868{col 43}-3.4262{col 52}0.001{col 60}-.046755{col 73}-.012728
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02974{col 33} .01141{col 43}-2.6076{col 52}0.009{col 60}-.052096{col 73}-.007387
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake30Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   492206{col 34}   104054{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    59979{col 34}    44782{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.806{col 34}    2.806
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.806{col 34}    2.806
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   335040{col 34}    79345
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5558

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01787{col 33} .00857{col 43}-2.0851{col 52}0.037{col 60}-.034676{col 73}-.001073
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00122{col 33} .00857{col 43}-0.1418{col 52}0.887{col 60}-.018017{col 73} .015586
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00122{col 33} .01123{col 43}-0.1082{col 52}0.914{col 60}-.023234{col 73} .020803
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake40Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   494096{col 34}   102164{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    62357{col 34}    45586{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.926{col 34}    2.926
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.926{col 34}    2.926
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   336371{col 34}    78014
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5558

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01789{col 33} .00852{col 43}-2.0996{col 52}0.036{col 60}-.034585{col 73}-.001189
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0047{col 33} .00852{col 43}0.5511{col 52}0.582{col 60}-.012003{col 73} .021393
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0047{col 33} .01119{col 43}0.4196{col 52}0.675{col 60}-.017235{col 73} .026625
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake50Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   495991{col 34}   100269{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    65326{col 34}    46428{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.072{col 34}    3.072
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.072{col 34}    3.072
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   337696{col 34}    76689
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5559

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01603{col 33} .00836{col 43}-1.9174{col 52}0.055{col 60}-.032418{col 73} .000356
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00117{col 33} .00836{col 43}0.1395{col 52}0.889{col 60} -.01522{col 73} .017553
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00117{col 33} .01108{col 43}0.1053{col 52}0.916{col 60}-.020552{col 73} .022885
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake60Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   497829{col 34}    98431{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    67180{col 34}    46826{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.172{col 34}    3.172
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.172{col 34}    3.172
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   339000{col 34}    75385
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5560

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01168{col 33}  .0084{col 43}-1.3899{col 52}0.165{col 60}-.028148{col 73}  .00479
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01178{col 33}  .0084{col 43}1.4014{col 52}0.161{col 60}-.004694{col 73} .028245
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01178{col 33} .01098{col 43}1.0725{col 52}0.284{col 60}-.009745{col 73} .033296
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake70Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   499578{col 34}    96682{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    70626{col 34}    47953{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.343{col 34}    3.343
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.343{col 34}    3.343
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   340269{col 34}    74116
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5559{col 34}     5560

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00908{col 33} .00819{col 43}-1.1086{col 52}0.268{col 60}-.025146{col 73} .006977
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}   .016{col 33} .00819{col 43}1.9521{col 52}0.051{col 60}-.000064{col 73} .032059
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}   .016{col 33} .01073{col 43}1.4906{col 52}0.136{col 60}-.005037{col 73} .037032
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake80Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   501425{col 34}    94835{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    71190{col 34}    47611{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.389{col 34}    3.389
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.389{col 34}    3.389
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   341545{col 34}    72840
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5561

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01428{col 33} .00819{col 43}-1.7435{col 52}0.081{col 60} -.03033{col 73} .001773
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00736{col 33} .00819{col 43}0.8992{col 52}0.369{col 60}-.008688{col 73} .023415
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00736{col 33} .01073{col 43}0.6865{col 52}0.492{col 60}-.013661{col 73} .028388
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake90Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   503229{col 34}    93031{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    75065{col 34}    48657{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.577{col 34}    3.577
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.577{col 34}    3.577
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   342819{col 34}    71566
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5559{col 34}     5561

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01561{col 33} .00811{col 43}-1.9241{col 52}0.054{col 60}-.031517{col 73} .000291
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00487{col 33} .00811{col 43}0.6003{col 52}0.548{col 60}-.011033{col 73} .020775
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00487{col 33} .01052{col 43}0.4631{col 52}0.643{col 60}-.015746{col 73} .025489
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake100Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   505005{col 34}    91255{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    70360{col 34}    46206{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.407{col 34}    3.407
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.407{col 34}    3.407
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   344062{col 34}    70323
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5560

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02227{col 33} .00828{col 43}-2.6908{col 52}0.007{col 60}-.038499{col 73} -.00605
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00592{col 33} .00828{col 43}-0.7155{col 52}0.474{col 60}-.022148{col 73} .010302
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00592{col 33} .01072{col 43}-0.5528{col 52}0.580{col 60}-.026924{col 73} .015078
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake110Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   506825{col 34}    89435{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    76087{col 34}    47692{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.668{col 34}    3.668
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.668{col 34}    3.668
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   345321{col 34}    69064
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5560

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01013{col 33} .00804{col 43}-1.2595{col 52}0.208{col 60}-.025896{col 73} .005634
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01446{col 33} .00804{col 43}1.7978{col 52}0.072{col 60}-.001304{col 73} .030226
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01446{col 33}  .0104{col 43}1.3907{col 52}0.164{col 60}-.005919{col 73}  .03484
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake120Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   508527{col 34}    87733{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    76398{col 34}    47198{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.710{col 34}    3.710
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.710{col 34}    3.710
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   346533{col 34}    67852
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5561

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00864{col 33} .00804{col 43}-1.0747{col 52}0.283{col 60}-.024403{col 73} .007119
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01287{col 33} .00804{col 43}1.6000{col 52}0.110{col 60}-.002895{col 73} .028627
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01287{col 33}  .0104{col 43}1.2369{col 52}0.216{col 60}-.007521{col 73} .033253
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake130Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   510275{col 34}    85985{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    80124{col 34}    47811{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.893{col 34}    3.893
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.893{col 34}    3.893
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   347755{col 34}    66630
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5561

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01159{col 33} .00798{col 43}-1.4525{col 52}0.146{col 60}-.027228{col 73} .004049
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00544{col 33} .00798{col 43}0.6815{col 52}0.496{col 60}-.010201{col 73} .021076
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00544{col 33} .01034{col 43}0.5259{col 52}0.599{col 60}-.014829{col 73} .025704
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake140Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   511964{col 34}    84296{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    86796{col 34}    49231{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.195{col 34}    4.195
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.195{col 34}    4.195
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   348926{col 34}    65459
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5559{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00617{col 33} .00778{col 43}-0.7928{col 52}0.428{col 60}-.021419{col 73} .009082
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01801{col 33} .00778{col 43}2.3144{col 52}0.021{col 60} .002758{col 73} .033259
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01801{col 33} .01009{col 43}1.7847{col 52}0.074{col 60}-.001768{col 73} .037785
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake150Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   513656{col 34}    82604{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    85810{col 34}    48208{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.190{col 34}    4.190
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.190{col 34}    4.190
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   350122{col 34}    64263
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5559{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00437{col 33} .00783{col 43}0.5575{col 52}0.577{col 60}-.010985{col 73} .019719
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02818{col 33} .00783{col 43}3.5974{col 52}0.000{col 60} .012826{col 73}  .04353
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02818{col 33} .01017{col 43}2.7706{col 52}0.006{col 60} .008244{col 73} .048112
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake160Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   515238{col 34}    81022{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    84113{col 34}    47072{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.151{col 34}    4.151
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.151{col 34}    4.151
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   351247{col 34}    63138
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00016{col 33}  .0079{col 43}-0.0208{col 52}0.983{col 60} -.01565{col 73} .015322
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01832{col 33}  .0079{col 43}2.3190{col 52}0.020{col 60} .002837{col 73} .033809
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01832{col 33} .01038{col 43}1.7660{col 52}0.077{col 60}-.002012{col 73} .038658
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake170Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   516852{col 34}    79408{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    87374{col 34}    47423{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.319{col 34}    4.319
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.319{col 34}    4.319
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   352391{col 34}    61994
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5559{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00041{col 33} .00783{col 43}0.0521{col 52}0.958{col 60}-.014934{col 73} .015749
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02483{col 33} .00783{col 43}3.1724{col 52}0.002{col 60} .009491{col 73} .040174
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02483{col 33} .01027{col 43}2.4181{col 52}0.016{col 60} .004705{col 73}  .04496
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake180Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   518523{col 34}    77737{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    80133{col 34}    44507{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.047{col 34}    4.047
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.047{col 34}    4.047
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   353556{col 34}    60829
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5554{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00228{col 33} .00817{col 43}0.2790{col 52}0.780{col 60}-.013731{col 73} .018288
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0159{col 33} .00817{col 43}1.9463{col 52}0.052{col 60}-.000112{col 73} .031907
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0159{col 33} .01076{col 43}1.4780{col 52}0.139{col 60}-.005184{col 73} .036979
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake190Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   520067{col 34}    76193{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    84375{col 34}    45173{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.263{col 34}    4.263
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.263{col 34}    4.263
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   354678{col 34}    59707
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00384{col 33} .00802{col 43}0.4787{col 52}0.632{col 60}-.011882{col 73} .019561
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02494{col 33} .00802{col 43}3.1092{col 52}0.002{col 60} .009218{col 73} .040661
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02494{col 33} .01056{col 43}2.3606{col 52}0.018{col 60} .004233{col 73} .045646
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake200Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   521636{col 34}    74624{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    89528{col 34}    45810{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.511{col 34}    4.511
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.511{col 34}    4.511
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   355822{col 34}    58563
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00141{col 33} .00786{col 43}-0.1793{col 52}0.858{col 60}-.016809{col 73} .013992
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01539{col 33} .00786{col 43}1.9590{col 52}0.050{col 60}-7.3e-06{col 73} .030794
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01539{col 33} .01041{col 43}1.4792{col 52}0.139{col 60}-.005004{col 73} .035791
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake210Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   523189{col 34}    73071{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    84875{col 34}    43869{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.351{col 34}    4.351
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.351{col 34}    4.351
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   356908{col 34}    57477
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5555{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00331{col 33}  .0081{col 43}0.4089{col 52}0.683{col 60}-.012562{col 73} .019184
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01623{col 33}  .0081{col 43}2.0036{col 52}0.045{col 60} .000354{col 73}   .0321
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01623{col 33} .01078{col 43}1.5047{col 52}0.132{col 60} -.00491{col 73} .037363
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake220Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   524629{col 34}    71631{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    73650{col 34}    40276{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.914{col 34}    3.914
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.914{col 34}    3.914
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   357947{col 34}    56438
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5556{col 34}     5562

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00077{col 33} .00858{col 43}-0.0894{col 52}0.929{col 60}-.017576{col 73} .016043
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01039{col 33} .00858{col 43}-1.2112{col 52}0.226{col 60}-.027197{col 73} .006422
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01039{col 33} .01139{col 43}-0.9123{col 52}0.362{col 60}-.032705{col 73}  .01193
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake230Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   526075{col 34}    70185{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    73104{col 34}    39565{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.928{col 34}    3.928
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.928{col 34}    3.928
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   358976{col 34}    55409
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5561

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00512{col 33} .00869{col 43}0.5893{col 52}0.556{col 60}-.011915{col 73} .022161
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00489{col 33} .00869{col 43}-0.5624{col 52}0.574{col 60}-.021928{col 73} .012149
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00489{col 33} .01153{col 43}-0.4242{col 52}0.671{col 60} -.02748{col 73} .017701
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake240Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   527475{col 34}    68785{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    72953{col 34}    39036{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.964{col 34}    3.964
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.964{col 34}    3.964
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   359987{col 34}    54398
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5557{col 34}     5561

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00495{col 33} .00878{col 43}0.5641{col 52}0.573{col 60}-.012257{col 73} .022163
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01273{col 33} .00878{col 43}-1.4495{col 52}0.147{col 60}-.029938{col 73} .004482
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01273{col 33}  .0115{col 43}-1.1069{col 52}0.268{col 60}-.035265{col 73} .009809
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake250Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   528901{col 34}    67359{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    74059{col 34}    38798{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.050{col 34}    4.050
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.050{col 34}    4.050
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   360999{col 34}    53386
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5561

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00616{col 33} .00875{col 43}0.7041{col 52}0.481{col 60}-.010983{col 73} .023299
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01403{col 33} .00875{col 43}-1.6039{col 52}0.109{col 60}-.031168{col 73} .003114
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01403{col 33} .01148{col 43}-1.2222{col 52}0.222{col 60}-.036521{col 73} .008467
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake260Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   530293{col 34}    65967{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    77972{col 34}    39167{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.255{col 34}    4.255
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.255{col 34}    4.255
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   361974{col 34}    52411
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5559

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01695{col 33} .00865{col 43}1.9597{col 52}0.050{col 60}-2.1e-06{col 73} .033905
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00481{col 33} .00865{col 43}0.5561{col 52}0.578{col 60}-.012143{col 73} .021763
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00481{col 33} .01135{col 43}0.4238{col 52}0.672{col 60}-.017433{col 73} .027053
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake270Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   531718{col 34}    64542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    80775{col 34}    39227{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.415{col 34}    4.415
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.415{col 34}    4.415
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   362987{col 34}    51398
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5560

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01234{col 33} .00852{col 43}1.4492{col 52}0.147{col 60}-.004351{col 73} .029041
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0028{col 33} .00852{col 43}-0.3289{col 52}0.742{col 60}-.019497{col 73} .013894
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0028{col 33} .01115{col 43}-0.2512{col 52}0.802{col 60}-.024656{col 73} .019053
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake280Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   533073{col 34}    63187{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    84824{col 34}    39456{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.632{col 34}    4.632
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.632{col 34}    4.632
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   363951{col 34}    50434
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5558

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01543{col 33} .00848{col 43}1.8191{col 52}0.069{col 60}-.001195{col 73} .032065
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00456{col 33} .00848{col 43}0.5377{col 52}0.591{col 60}-.012068{col 73} .021193
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00456{col 33} .01109{col 43}0.4113{col 52}0.681{col 60}-.017181{col 73} .026306
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake290Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    596260
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   534417{col 34}    61843{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    89609{col 34}    39694{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.873{col 34}    4.873
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.873{col 34}    4.873
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   364917{col 34}    49468
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5558{col 34}     5559

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00802{col 33} .00839{col 43}0.9561{col 52}0.339{col 60}-.008426{col 73} .024475
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00306{col 33} .00839{col 43}0.3643{col 52}0.716{col 60}-.013392{col 73} .019508
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00306{col 33} .01099{col 43}0.2782{col 52}0.781{col 60}-.018488{col 73} .024604
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake300Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Brazil.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Brazil.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    95473{col 34}    52098{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26693{col 34}    23303{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.011{col 34}    4.011
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.011{col 34}    4.011
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    69612{col 34}    42042
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1097

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00044{col 33} .00698{col 43}0.0624{col 52}0.950{col 60}-.013245{col 73} .014116
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00443{col 33} .00698{col 43}0.6343{col 52}0.526{col 60}-.009253{col 73} .018108
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00443{col 33} .00945{col 43}0.4683{col 52}0.640{col 60}-.014101{col 73} .022956
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-300Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    96131{col 34}    51440{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26041{col 34}    22595{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.901{col 34}    3.901
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.901{col 34}    3.901
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70108{col 34}    41546
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1097

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0028{col 33} .00726{col 43}0.3860{col 52}0.699{col 60}-.011431{col 73} .017038
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00471{col 33} .00726{col 43}0.6479{col 52}0.517{col 60}-.009529{col 73}  .01894
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00471{col 33} .00969{col 43}0.4857{col 52}0.627{col 60}-.014283{col 73} .023694
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-290Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    96776{col 34}    50795{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26460{col 34}    22790{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.970{col 34}    3.970
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.970{col 34}    3.970
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70588{col 34}    41066
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1096

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00409{col 33} .00735{col 43}0.5560{col 52}0.578{col 60}-.010317{col 73}  .01849
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01249{col 33} .00735{col 43}1.7000{col 52}0.089{col 60}-.001911{col 73} .026897
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01249{col 33} .00979{col 43}1.2762{col 52}0.202{col 60}-.006693{col 73} .031679
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-280Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    97440{col 34}    50131{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25484{col 34}    21920{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.829{col 34}    3.829
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.829{col 34}    3.829
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71061{col 34}    40593
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1096

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00153{col 33} .00747{col 43}-0.2054{col 52}0.837{col 60}-.016178{col 73} .013109
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00124{col 33} .00747{col 43}0.1657{col 52}0.868{col 60}-.013405{col 73} .015882
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00124{col 33}  .0099{col 43}0.1250{col 52}0.900{col 60} -.01817{col 73} .020646
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-270Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    98102{col 34}    49469{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24818{col 34}    21200{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.718{col 34}    3.718
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.718{col 34}    3.718
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71543{col 34}    40111
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1096

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00524{col 33}  .0077{col 43}-0.6809{col 52}0.496{col 60}-.020333{col 73} .009848
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00389{col 33}  .0077{col 43}-0.5052{col 52}0.613{col 60} -.01898{col 73} .011201
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00389{col 33} .01014{col 43}-0.3837{col 52}0.701{col 60}-.023759{col 73} .015979
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-260Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    98772{col 34}    48799{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24318{col 34}    20646{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.640{col 34}    3.640
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.640{col 34}    3.640
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72057{col 34}    39597
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1096

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00411{col 33} .00783{col 43}-0.5255{col 52}0.599{col 60}-.019457{col 73}  .01123
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00465{col 33} .00783{col 43}-0.5945{col 52}0.552{col 60}-.019997{col 73}  .01069
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00465{col 33}  .0101{col 43}-0.4610{col 52}0.645{col 60} -.02444{col 73} .015133
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-250Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    99427{col 34}    48144{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    23924{col 34}    20174{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.577{col 34}    3.577
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.577{col 34}    3.577
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72545{col 34}    39109
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1095

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0038{col 33} .00803{col 43}-0.4731{col 52}0.636{col 60}-.019535{col 73} .011938
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00135{col 33} .00803{col 43}-0.1677{col 52}0.867{col 60}-.017084{col 73}  .01439
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00135{col 33} .01044{col 43}-0.1290{col 52}0.897{col 60}-.021807{col 73} .019114
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-240Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   100081{col 34}    47490{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    23572{col 34}    19769{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.531{col 34}    3.531
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.531{col 34}    3.531
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73046{col 34}    38608
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1095

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0072{col 33} .00829{col 43}-0.8683{col 52}0.385{col 60}-.023455{col 73} .009053
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00121{col 33} .00829{col 43}-0.1459{col 52}0.884{col 60}-.017464{col 73} .015044
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00121{col 33} .01076{col 43}-0.1125{col 52}0.910{col 60} -.02229{col 73}  .01987
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-230Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   100716{col 34}    46855{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24045{col 34}    19943{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.608{col 34}    3.608
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.608{col 34}    3.608
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73522{col 34}    38132
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1093

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00402{col 33} .00838{col 43}-0.4791{col 52}0.632{col 60}-.020447{col 73} .012414
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00643{col 33} .00838{col 43}0.7667{col 52}0.443{col 60}-.010003{col 73} .022858
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00643{col 33}  .0106{col 43}0.6066{col 52}0.544{col 60}-.014341{col 73} .027195
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-220Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   101388{col 34}    46183{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24815{col 34}    20271{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.721{col 34}    3.721
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.721{col 34}    3.721
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    74028{col 34}    37626
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1090

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00256{col 33} .00861{col 43}-0.2971{col 52}0.766{col 60}-.019424{col 73} .014309
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01452{col 33} .00861{col 43}1.6871{col 52}0.092{col 60}-.002349{col 73} .031385
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01452{col 33} .01095{col 43}1.3262{col 52}0.185{col 60}-.006938{col 73} .035974
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-210Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   102052{col 34}    45519{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25381{col 34}    20441{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.808{col 34}    3.808
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.808{col 34}    3.808
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    74519{col 34}    37135
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1089

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00297{col 33}  .0088{col 43}0.3372{col 52}0.736{col 60}-.014276{col 73} .020209
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02681{col 33}  .0088{col 43}3.0473{col 52}0.002{col 60} .009566{col 73}  .04405
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02681{col 33} .01122{col 43}2.3884{col 52}0.017{col 60} .004809{col 73} .048807
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-200Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   102726{col 34}    44845{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25768{col 34}    20491{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.862{col 34}    3.862
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.862{col 34}    3.862
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    75032{col 34}    36622
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1089

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0012{col 33} .00886{col 43}0.1358{col 52}0.892{col 60}-.016159{col 73} .018565
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02473{col 33} .00886{col 43}2.7915{col 52}0.005{col 60} .007366{col 73}  .04209
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02473{col 33} .01174{col 43}2.1058{col 52}0.035{col 60} .001713{col 73} .047743
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-190Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   103360{col 34}    44211{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24343{col 34}    19330{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.651{col 34}    3.651
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.651{col 34}    3.651
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    75510{col 34}    36144
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1086

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00522{col 33} .00925{col 43}-0.5637{col 52}0.573{col 60}-.023351{col 73} .012919
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01224{col 33} .00925{col 43}1.3232{col 52}0.186{col 60}-.005891{col 73} .030378
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01224{col 33} .01205{col 43}1.0160{col 52}0.310{col 60}-.011374{col 73} .035861
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-180Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   103990{col 34}    43581{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25914{col 34}    20251{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.896{col 34}    3.896
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.896{col 34}    3.896
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    75995{col 34}    35659
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1093

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00862{col 33} .00918{col 43}-0.9392{col 52}0.348{col 60}-.026609{col 73} .009369
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01383{col 33} .00918{col 43}1.5069{col 52}0.132{col 60}-.004159{col 73} .031819
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01383{col 33} .01188{col 43}1.1641{col 52}0.244{col 60}-.009455{col 73} .037116
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-170Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   104589{col 34}    42982{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25869{col 34}    20063{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.896{col 34}    3.896
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.896{col 34}    3.896
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    76452{col 34}    35202
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1095

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01789{col 33} .00926{col 43}-1.9321{col 52}0.053{col 60}-.036042{col 73} .000258
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00436{col 33} .00926{col 43}-0.4708{col 52}0.638{col 60} -.02251{col 73}  .01379
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00436{col 33} .01194{col 43}-0.3650{col 52}0.715{col 60}-.027767{col 73} .019048
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-160Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   105236{col 34}    42335{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25623{col 34}    19686{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.861{col 34}    3.861
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.861{col 34}    3.861
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    76945{col 34}    34709
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1101{col 34}     1095

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01486{col 33} .00941{col 43}-1.5791{col 52}0.114{col 60}-.033312{col 73} .003585
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00441{col 33} .00941{col 43}0.4680{col 52}0.640{col 60}-.014043{col 73} .022854
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00441{col 33} .01245{col 43}0.3539{col 52}0.723{col 60}-.019996{col 73} .028807
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-150Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   105825{col 34}    41746{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25475{col 34}    19449{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.850{col 34}    3.850
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.850{col 34}    3.850
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    77383{col 34}    34271
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1096

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01628{col 33} .00966{col 43}-1.6849{col 52}0.092{col 60}-.035213{col 73} .002657
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00247{col 33} .00966{col 43}0.2553{col 52}0.798{col 60}-.016469{col 73} .021402
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00247{col 33} .01286{col 43}0.1918{col 52}0.848{col 60}-.022747{col 73} .027681
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-140Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   106461{col 34}    41110{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24903{col 34}    18934{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.779{col 34}    3.779
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.779{col 34}    3.779
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    77862{col 34}    33792
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1096

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02813{col 33} .00979{col 43}-2.8729{col 52}0.004{col 60}-.047318{col 73}-.008938
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01766{col 33} .00979{col 43}-1.8038{col 52}0.071{col 60}-.036851{col 73} .001529
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01766{col 33} .01315{col 43}-1.3430{col 52}0.179{col 60}-.043435{col 73} .008112
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-130Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   107035{col 34}    40536{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24198{col 34}    18364{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.681{col 34}    3.681
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.681{col 34}    3.681
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    78303{col 34}    33351
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1096

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03868{col 33} .00977{col 43}-3.9573{col 52}0.000{col 60}-.057835{col 73}-.019522
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03847{col 33} .00977{col 43}-3.9355{col 52}0.000{col 60}-.057622{col 73}-.019309
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03847{col 33} .01332{col 43}-2.8879{col 52}0.004{col 60} -.06457{col 73} -.01236
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-120Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   107622{col 34}    39949{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25290{col 34}    18904{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.863{col 34}    3.863
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.863{col 34}    3.863
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    78742{col 34}    32912
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1096

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0298{col 33}  .0095{col 43}-3.1366{col 52}0.002{col 60}-.048418{col 73}-.011178
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03704{col 33}  .0095{col 43}-3.8993{col 52}0.000{col 60}-.055663{col 73}-.018424
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03704{col 33} .01298{col 43}-2.8534{col 52}0.004{col 60}-.062488{col 73}-.011599
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-110Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108210{col 34}    39361{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25282{col 34}    18698{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.870{col 34}    3.870
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.870{col 34}    3.870
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    79192{col 34}    32462
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1096

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02491{col 33} .00956{col 43}-2.6059{col 52}0.009{col 60}-.043646{col 73}-.006174
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04366{col 33} .00956{col 43}-4.5672{col 52}0.000{col 60}-.062395{col 73}-.024923
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04366{col 33} .01281{col 43}-3.4086{col 52}0.001{col 60}-.068764{col 73}-.018555
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-100Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108812{col 34}    38759{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25106{col 34}    18414{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.851{col 34}    3.851
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.851{col 34}    3.851
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    79640{col 34}    32014
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1097

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01936{col 33} .00956{col 43}-2.0245{col 52}0.043{col 60}-.038102{col 73}-.000617
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04028{col 33} .00956{col 43}-4.2122{col 52}0.000{col 60}-.059024{col 73}-.021538
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04028{col 33} .01276{col 43}-3.1564{col 52}0.002{col 60}-.065293{col 73}-.015268
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-90Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   109420{col 34}    38151{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25697{col 34}    18555{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.948{col 34}    3.948
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.948{col 34}    3.948
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    80118{col 34}    31536
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1097

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00683{col 33} .00966{col 43}-0.7074{col 52}0.479{col 60}-.025762{col 73} .012098
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02678{col 33} .00966{col 43}-2.7730{col 52}0.006{col 60}-.045711{col 73}-.007852
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02678{col 33} .01278{col 43}-2.0957{col 52}0.036{col 60}-.051828{col 73}-.001735
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-80Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   110015{col 34}    37556{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27813{col 34}    19460{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.285{col 34}    4.285
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.285{col 34}    4.285
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    80580{col 34}    31074
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01037{col 33} .00963{col 43}1.0765{col 52}0.282{col 60}-.008507{col 73} .029238
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00589{col 33} .00963{col 43}-0.6114{col 52}0.541{col 60}-.024759{col 73} .012985
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00589{col 33} .01247{col 43}-0.4720{col 52}0.637{col 60}-.030329{col 73} .018556
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-70Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   110590{col 34}    36981{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    29195{col 34}    19936{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.501{col 34}    4.501
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.501{col 34}    4.501
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    81033{col 34}    30621
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01996{col 33} .00967{col 43}2.0634{col 52}0.039{col 60}    .001{col 73}  .03892
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00687{col 33} .00967{col 43}0.7102{col 52}0.478{col 60} -.01209{col 73}  .02583
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00687{col 33} .01256{col 43}0.5471{col 52}0.584{col 60}-.017741{col 73} .031481
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-60Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   111144{col 34}    36427{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28440{col 34}    19392{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.402{col 34}    4.402
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.402{col 34}    4.402
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    81455{col 34}    30199
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01207{col 33} .00993{col 43}1.2156{col 52}0.224{col 60} -.00739{col 73}  .03153
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0071{col 33} .00993{col 43}-0.7153{col 52}0.474{col 60}-.026562{col 73} .012358
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0071{col 33} .01285{col 43}-0.5527{col 52}0.580{col 60}-.032287{col 73} .018083
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-50Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   111767{col 34}    35804{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31380{col 34}    20402{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.845{col 34}    4.845
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.845{col 34}    4.845
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    81931{col 34}    29723
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02933{col 33} .00959{col 43}3.0596{col 52}0.002{col 60} .010543{col 73} .048126
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01755{col 33} .00959{col 43}1.8300{col 52}0.067{col 60}-.001246{col 73} .036336
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01755{col 33} .01273{col 43}1.3779{col 52}0.168{col 60}-.007412{col 73} .042502
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-40Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   112330{col 34}    35241{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30729{col 34}    19904{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.773{col 34}    4.773
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.773{col 34}    4.773
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    82378{col 34}    29276
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04145{col 33} .00982{col 43}4.2209{col 52}0.000{col 60} .022202{col 73} .060695
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04183{col 33} .00982{col 43}4.2596{col 52}0.000{col 60} .022582{col 73} .061075
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04183{col 33}  .0131{col 43}3.1924{col 52}0.001{col 60} .016148{col 73} .067509
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-30Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   112903{col 34}    34668{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30588{col 34}    19604{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.765{col 34}    4.765
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.765{col 34}    4.765
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    82840{col 34}    28814
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04228{col 33} .01043{col 43}4.0536{col 52}0.000{col 60} .021839{col 73}  .06273
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04025{col 33} .01043{col 43}3.8582{col 52}0.000{col 60} .019801{col 73} .060691
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04025{col 33} .01402{col 43}2.8712{col 52}0.004{col 60} .012773{col 73}  .06772
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-20Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113472{col 34}    34099{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30184{col 34}    19177{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.715{col 34}    4.715
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.715{col 34}    4.715
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83315{col 34}    28339
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1099

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03855{col 33} .01093{col 43}3.5286{col 52}0.000{col 60} .017139{col 73} .059969
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03883{col 33} .01093{col 43}3.5542{col 52}0.000{col 60} .017418{col 73} .060248
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03883{col 33} .01486{col 43}2.6137{col 52}0.009{col 60} .009713{col 73} .067953
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-10Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113753{col 34}    33818{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30045{col 34}    19257{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.751{col 34}    4.751
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.751{col 34}    4.751
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83578{col 34}    28076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1100

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03853{col 33} .01107{col 43}3.4813{col 52}0.000{col 60} .016836{col 73} .060216
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0425{col 33} .01107{col 43}3.8401{col 52}0.000{col 60} .020806{col 73} .064186
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0425{col 33} .01522{col 43}2.7924{col 52}0.005{col 60} .012668{col 73} .072324
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake0Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114029{col 34}    33542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28290{col 34}    18688{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.543{col 34}    4.543
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.543{col 34}    4.543
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    83842{col 34}    27812
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1100

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03274{col 33} .01116{col 43}2.9326{col 52}0.003{col 60} .010858{col 73} .054619
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03502{col 33} .01116{col 43}3.1368{col 52}0.002{col 60} .013138{col 73} .056898
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03502{col 33}  .0152{col 43}2.3031{col 52}0.021{col 60} .005218{col 73} .064818
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake10Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114566{col 34}    33005{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30179{col 34}    19218{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.848{col 34}    4.848
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.848{col 34}    4.848
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    84292{col 34}    27362
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1100

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03502{col 33} .01104{col 43}3.1730{col 52}0.002{col 60} .013388{col 73} .056651
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03362{col 33} .01104{col 43}3.0465{col 52}0.002{col 60} .011991{col 73} .055254
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03362{col 33} .01465{col 43}2.2949{col 52}0.022{col 60} .004907{col 73} .062339
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake20Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   115121{col 34}    32450{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    29083{col 34}    18528{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.700{col 34}    4.700
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.700{col 34}    4.700
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    84749{col 34}    26905
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1100

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01424{col 33}  .0114{col 43}1.2492{col 52}0.212{col 60}-.008103{col 73} .036584
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00698{col 33}  .0114{col 43}0.6125{col 52}0.540{col 60}-.015361{col 73} .029326
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00698{col 33} .01529{col 43}0.4567{col 52}0.648{col 60}-.022984{col 73}  .03695
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake30Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   115649{col 34}    31922{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27525{col 34}    17740{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.490{col 34}    4.490
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.490{col 34}    4.490
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    85182{col 34}    26472
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1100

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00197{col 33} .01185{col 43}-0.1663{col 52}0.868{col 60}-.025203{col 73} .021261
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01193{col 33} .01185{col 43}-1.0061{col 52}0.314{col 60}-.035158{col 73} .011306
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01193{col 33}   .016{col 43}-0.7452{col 52}0.456{col 60}-.043294{col 73} .019442
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake40Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   116196{col 34}    31375{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26616{col 34}    17133{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.369{col 34}    4.369
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.369{col 34}    4.369
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    85608{col 34}    26046
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1100

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00626{col 33} .01205{col 43}-0.5193{col 52}0.604{col 60}-.029869{col 73} .017356
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01427{col 33} .01205{col 43}-1.1843{col 52}0.236{col 60} -.03788{col 73} .009345
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01427{col 33}  .0164{col 43}-0.8702{col 52}0.384{col 60}-.046402{col 73} .017867
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake50Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   116684{col 34}    30887{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26102{col 34}    16777{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.321{col 34}    4.321
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.321{col 34}    4.321
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    85998{col 34}    25656
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1100

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01387{col 33} .01225{col 43}-1.1323{col 52}0.258{col 60}-.037886{col 73}  .01014
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02048{col 33} .01225{col 43}-1.6712{col 52}0.095{col 60}-.044488{col 73} .003538
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02048{col 33} .01657{col 43}-1.2360{col 52}0.216{col 60}-.052943{col 73} .011993
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake60Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   117194{col 34}    30377{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25837{col 34}    16480{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.307{col 34}    4.307
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.307{col 34}    4.307
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    86403{col 34}    25251
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1100

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02108{col 33} .01243{col 43}-1.6952{col 52}0.090{col 60}-.045445{col 73} .003292
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03178{col 33} .01243{col 43}-2.5560{col 52}0.011{col 60}-.056147{col 73} -.00741
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03178{col 33} .01635{col 43}-1.9440{col 52}0.052{col 60}-.063819{col 73} .000261
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake70Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   117688{col 34}    29883{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25231{col 34}    16079{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.241{col 34}    4.241
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.241{col 34}    4.241
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    86808{col 34}    24846
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1100

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01658{col 33} .01277{col 43}-1.2984{col 52}0.194{col 60}-.041596{col 73} .008445
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01587{col 33} .01277{col 43}-1.2429{col 52}0.214{col 60}-.040887{col 73} .009153
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01587{col 33} .01623{col 43}-0.9775{col 52}0.328{col 60}-.047682{col 73} .015948
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake80Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   118235{col 34}    29336{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25556{col 34}    15967{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.312{col 34}    4.312
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.312{col 34}    4.312
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    87247{col 34}    24407
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1100

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02294{col 33} .01299{col 43}-1.7659{col 52}0.077{col 60}-.048408{col 73} .002521
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01971{col 33} .01299{col 43}-1.5173{col 52}0.129{col 60}-.045179{col 73} .005751
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01971{col 33} .01648{col 43}-1.1963{col 52}0.232{col 60}-.052013{col 73} .012585
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake90Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   118721{col 34}    28850{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26521{col 34}    16093{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.479{col 34}    4.479
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.479{col 34}    4.479
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    87620{col 34}    24034
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02359{col 33} .01296{col 43}-1.8196{col 52}0.069{col 60}-.048998{col 73}  .00182
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01881{col 33} .01296{col 43}-1.4513{col 52}0.147{col 60}-.044223{col 73} .006595
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01881{col 33} .01632{col 43}-1.1527{col 52}0.249{col 60}-.050805{col 73} .013177
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake100Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   119214{col 34}    28357{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28054{col 34}    16417{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.735{col 34}    4.735
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.735{col 34}    4.735
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    88013{col 34}    23641
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01966{col 33} .01261{col 43}-1.5592{col 52}0.119{col 60} -.04437{col 73} .005053
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00358{col 33} .01261{col 43}-0.2840{col 52}0.776{col 60}-.028292{col 73} .021131
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00358{col 33} .01605{col 43}-0.2230{col 52}0.824{col 60}-.035046{col 73} .027885
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake110Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   119700{col 34}    27871{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26592{col 34}    15745{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.550{col 34}    4.550
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.550{col 34}    4.550
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    88400{col 34}    23254
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1098{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02913{col 33} .01297{col 43}-2.2465{col 52}0.025{col 60}-.054546{col 73}-.003715
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00903{col 33} .01297{col 43}-0.6960{col 52}0.486{col 60}-.034441{col 73} .016389
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00903{col 33} .01679{col 43}-0.5374{col 52}0.591{col 60}-.041942{col 73}  .02389
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake120Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   120154{col 34}    27417{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26921{col 34}    15691{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.633{col 34}    4.633
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.633{col 34}    4.633
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    88764{col 34}    22890
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1098{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0378{col 33} .01283{col 43}-2.9460{col 52}0.003{col 60}-.062947{col 73}-.012651
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01612{col 33} .01283{col 43}-1.2563{col 52}0.209{col 60}-.041267{col 73} .009028
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01612{col 33} .01659{col 43}-0.9714{col 52}0.331{col 60}-.048642{col 73} .016404
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake130Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   120625{col 34}    26946{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27785{col 34}    15758{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.790{col 34}    4.790
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.790{col 34}    4.790
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    89153{col 34}    22501
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1098{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03947{col 33} .01255{col 43}-3.1446{col 52}0.002{col 60}-.064069{col 73}-.014869
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0274{col 33} .01255{col 43}-2.1833{col 52}0.029{col 60}-.052003{col 73}-.002803
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0274{col 33} .01648{col 43}-1.6631{col 52}0.096{col 60}-.059698{col 73} .004892
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake140Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   121053{col 34}    26518{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28550{col 34}    15869{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.936{col 34}    4.936
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.936{col 34}    4.936
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    89507{col 34}    22147
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02512{col 33} .01266{col 43}-1.9846{col 52}0.047{col 60}-.049935{col 73}-.000312
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0074{col 33} .01266{col 43}-0.5845{col 52}0.559{col 60}-.032211{col 73} .017412
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0074{col 33} .01674{col 43}-0.4421{col 52}0.658{col 60}-.040203{col 73} .025405
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake150Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   121543{col 34}    26028{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    29442{col 34}    15872{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.092{col 34}    5.092
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.092{col 34}    5.092
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    89896{col 34}    21758
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02694{col 33} .01239{col 43}-2.1751{col 52}0.030{col 60}-.051222{col 73}-.002665
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02032{col 33} .01239{col 43}-1.6407{col 52}0.101{col 60}-.044602{col 73} .003954
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02032{col 33} .01653{col 43}-1.2292{col 52}0.219{col 60}-.052731{col 73} .012084
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake160Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122029{col 34}    25542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    29785{col 34}    15737{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.172{col 34}    5.172
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.172{col 34}    5.172
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    90286{col 34}    21368
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1099{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02488{col 33} .01235{col 43}-2.0144{col 52}0.044{col 60}-.049097{col 73}-.000672
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01244{col 33} .01235{col 43}-1.0067{col 52}0.314{col 60}-.036648{col 73} .011776
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01244{col 33} .01636{col 43}-0.7602{col 52}0.447{col 60}-.044499{col 73} .019627
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake170Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122463{col 34}    25108{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27892{col 34}    15035{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.936{col 34}    4.936
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.936{col 34}    4.936
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    90634{col 34}    21020
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02595{col 33} .01262{col 43}-2.0563{col 52}0.040{col 60}-.050687{col 73}-.001216
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0201{col 33} .01262{col 43}-1.5930{col 52}0.111{col 60} -.04484{col 73} .004631
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0201{col 33} .01676{col 43}-1.1999{col 52}0.230{col 60}-.052945{col 73} .012735
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake180Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122907{col 34}    24664{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27399{col 34}    14714{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.895{col 34}    4.895
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.895{col 34}    4.895
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    90994{col 34}    20660
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02977{col 33} .01264{col 43}-2.3552{col 52}0.019{col 60}-.054549{col 73}-.004996
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03072{col 33} .01264{col 43}-2.4299{col 52}0.015{col 60}-.055494{col 73}-.005941
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03072{col 33}  .0167{col 43}-1.8396{col 52}0.066{col 60}-.063446{col 73} .002011
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake190Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   123367{col 34}    24204{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27129{col 34}    14418{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.885{col 34}    4.885
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.885{col 34}    4.885
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    91367{col 34}    20287
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03292{col 33}  .0127{col 43}-2.5914{col 52}0.010{col 60}-.057822{col 73}-.008022
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02503{col 33}  .0127{col 43}-1.9701{col 52}0.049{col 60}-.049929{col 73}-.000129
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02503{col 33} .01694{col 43}-1.4775{col 52}0.140{col 60}-.058233{col 73} .008174
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake200Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   123805{col 34}    23766{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27478{col 34}    14317{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.970{col 34}    4.970
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.970{col 34}    4.970
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    91716{col 34}    19938
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01983{col 33} .01285{col 43}-1.5426{col 52}0.123{col 60}-.045019{col 73} .005364
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00647{col 33} .01285{col 43}-0.5034{col 52}0.615{col 60}-.031662{col 73} .018721
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00647{col 33} .01701{col 43}-0.3803{col 52}0.704{col 60}-.039813{col 73} .026873
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake210Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   124258{col 34}    23313{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27399{col 34}    14076{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.989{col 34}    4.989
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.989{col 34}    4.989
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    92074{col 34}    19580
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01669{col 33} .01327{col 43}-1.2572{col 52}0.209{col 60}-.042707{col 73} .009329
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00145{col 33} .01327{col 43}0.1092{col 52}0.913{col 60}-.024568{col 73} .027468
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00145{col 33} .01746{col 43}0.0830{col 52}0.934{col 60} -.03277{col 73} .035669
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake220Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   124667{col 34}    22904{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    26263{col 34}    13613{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.857{col 34}    4.857
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.857{col 34}    4.857
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    92395{col 34}    19259
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0131{col 33} .01348{col 43}-0.9718{col 52}0.331{col 60}-.039525{col 73} .013321
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00154{col 33} .01348{col 43}-0.1141{col 52}0.909{col 60}-.027961{col 73} .024885
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00154{col 33}  .0178{col 43}-0.0864{col 52}0.931{col 60}-.036419{col 73} .033343
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake230Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125083{col 34}    22488{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27883{col 34}    13826{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.134{col 34}    5.134
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.134{col 34}    5.134
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    92722{col 34}    18932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00607{col 33} .01351{col 43}0.4490{col 52}0.653{col 60}-.020417{col 73} .032552
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01937{col 33} .01351{col 43}1.4338{col 52}0.152{col 60} -.00711{col 73} .045859
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01937{col 33} .01725{col 43}1.1230{col 52}0.261{col 60} -.01444{col 73}  .05319
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake240Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125474{col 34}    22097{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28902{col 34}    13895{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.333{col 34}    5.333
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.333{col 34}    5.333
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93032{col 34}    18622
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00999{col 33} .01354{col 43}0.7377{col 52}0.461{col 60}-.016547{col 73} .036522
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03493{col 33} .01354{col 43}2.5802{col 52}0.010{col 60} .008398{col 73} .061467
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03493{col 33} .01702{col 43}2.0518{col 52}0.040{col 60} .001564{col 73} .068301
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake250Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125890{col 34}    21681{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    30107{col 34}    13919{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.552{col 34}    5.552
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.552{col 34}    5.552
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93347{col 34}    18307
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01401{col 33} .01344{col 43}1.0421{col 52}0.297{col 60}-.012339{col 73} .040358
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0498{col 33} .01344{col 43}3.7042{col 52}0.000{col 60} .023448{col 73} .076145
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0498{col 33} .01699{col 43}2.9317{col 52}0.003{col 60} .016505{col 73} .083088
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake260Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   126285{col 34}    21286{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    29822{col 34}    13641{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.549{col 34}    5.549
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.549{col 34}    5.549
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93658{col 34}    17996
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00782{col 33} .01346{col 43}0.5808{col 52}0.561{col 60}-.018565{col 73} .034202
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04706{col 33} .01346{col 43}3.4960{col 52}0.000{col 60} .020678{col 73} .073445
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04706{col 33} .01727{col 43}2.7251{col 52}0.006{col 60} .013214{col 73} .080908
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake270Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   126643{col 34}    20928{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28163{col 34}    13153{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.346{col 34}    5.346
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.346{col 34}    5.346
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    93937{col 34}    17717
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1096{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01138{col 33} .01375{col 43}0.8272{col 52}0.408{col 60} -.01558{col 73} .038336
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03615{col 33} .01375{col 43}2.6285{col 52}0.009{col 60} .009195{col 73} .063111
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03615{col 33} .01776{col 43}2.0361{col 52}0.042{col 60} .001352{col 73} .070954
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake280Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   127014{col 34}    20557{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28936{col 34}    13117{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.503{col 34}    5.503
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.503{col 34}    5.503
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    94240{col 34}    17414
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00726{col 33} .01371{col 43}0.5295{col 52}0.596{col 60}-.019614{col 73} .034132
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03805{col 33} .01371{col 43}2.7754{col 52}0.006{col 60}  .01118{col 73} .064926
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03805{col 33} .01785{col 43}2.1322{col 52}0.033{col 60} .003073{col 73} .073034
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake290Colombia.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    147571
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   127399{col 34}    20172{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27955{col 34}    12724{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.398{col 34}    5.398
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.398{col 34}    5.398
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    94552{col 34}    17102
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1101

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00203{col 33} .01399{col 43}-0.1452{col 52}0.885{col 60}-.029441{col 73} .025381
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01408{col 33} .01399{col 43}1.0065{col 52}0.314{col 60}-.013334{col 73} .041488
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01408{col 33} .01817{col 43}0.7749{col 52}0.438{col 60}-.021528{col 73} .049682
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake300Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Colombia.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Colombia.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     4848{col 34}     7785{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      912{col 34}     3909{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.867{col 34}    2.867
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.867{col 34}    2.867
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04479{col 33} .01655{col 43}2.7072{col 52}0.007{col 60} .012364{col 73} .077225
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02214{col 33} .01655{col 43}1.3381{col 52}0.181{col 60}-.010289{col 73} .054572
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02214{col 33} .02265{col 43}0.9774{col 52}0.328{col 60}-.022259{col 73} .066542
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-300Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     4901{col 34}     7732{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1090{col 34}     4753{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.429{col 34}    3.429
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.429{col 34}    3.429
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0996{col 33} .02056{col 43}4.8440{col 52}0.000{col 60} .059303{col 73} .139905
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02172{col 33} .02056{col 43}-1.0563{col 52}0.291{col 60}-.062021{col 73} .018582
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02172{col 33} .02258{col 43}-0.9619{col 52}0.336{col 60}-.065975{col 73} .022536
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-290Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     4953{col 34}     7680{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1016{col 34}     4378{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.062{col 34}    3.062
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.062{col 34}    3.062
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .08485{col 33} .02005{col 43}4.2316{col 52}0.000{col 60} .045549{col 73} .124149
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06529{col 33} .02005{col 43}-3.2564{col 52}0.001{col 60}-.104595{col 73}-.025995
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06529{col 33} .02516{col 43}-2.5949{col 52}0.009{col 60}-.114613{col 73}-.015976
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-280Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5019{col 34}     7614{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1089{col 34}     4590{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.180{col 34}    3.180
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.180{col 34}    3.180
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .09099{col 33} .02093{col 43}4.3466{col 52}0.000{col 60} .049963{col 73} .132025
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03939{col 33} .02093{col 43}-1.8815{col 52}0.060{col 60}-.080419{col 73} .001643
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03939{col 33} .02644{col 43}-1.4898{col 52}0.136{col 60}-.091205{col 73} .012429
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-270Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5088{col 34}     7545{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      959{col 34}     3856{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.577{col 34}    2.577
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.577{col 34}    2.577
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03672{col 33}  .0201{col 43}1.8265{col 52}0.068{col 60}-.002684{col 73} .076114
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01864{col 33}  .0201{col 43}-0.9271{col 52}0.354{col 60}-.058035{col 73} .020763
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01864{col 33} .02588{col 43}-0.7202{col 52}0.471{col 60}-.069354{col 73} .032082
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-260Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5155{col 34}     7478{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1037{col 34}     4153{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.737{col 34}    2.737
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.737{col 34}    2.737
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0809{col 33} .02009{col 43}4.0275{col 52}0.000{col 60} .041529{col 73} .120262
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05209{col 33} .02009{col 43}-2.5933{col 52}0.010{col 60}-.091456{col 73}-.012722
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05209{col 33}   .025{col 43}-2.0837{col 52}0.037{col 60}-.101083{col 73}-.003094
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-250Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5219{col 34}     7414{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1098{col 34}     4325{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.823{col 34}    2.823
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.823{col 34}    2.823
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .09055{col 33} .01987{col 43}4.5582{col 52}0.000{col 60} .051616{col 73} .129488
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01443{col 33} .01987{col 43}-0.7266{col 52}0.467{col 60} -.05337{col 73} .024501
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01443{col 33}  .0225{col 43}-0.6414{col 52}0.521{col 60}-.058542{col 73} .029674
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-240Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5301{col 34}     7332{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1278{col 34}     4708{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.239{col 34}    3.239
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.239{col 34}    3.239
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03107{col 33} .01904{col 43}1.6317{col 52}0.103{col 60} -.00625{col 73} .068383
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03378{col 33} .01904{col 43}1.7744{col 52}0.076{col 60}-.003532{col 73} .071101
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03378{col 33} .02554{col 43}1.3228{col 52}0.186{col 60}-.016273{col 73} .083841
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-230Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5389{col 34}     7244{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1233{col 34}     4395{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.876{col 34}    2.876
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.876{col 34}    2.876
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .06287{col 33} .01904{col 43}3.3027{col 52}0.001{col 60}  .02556{col 73} .100179
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03393{col 33} .01904{col 43}1.7822{col 52}0.075{col 60}-.003383{col 73} .071236
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03393{col 33} .02103{col 43}1.6134{col 52}0.107{col 60}-.007289{col 73} .075142
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-220Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5488{col 34}     7145{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1332{col 34}     4475{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.976{col 34}    2.976
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.976{col 34}    2.976
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03329{col 33} .01835{col 43}1.8141{col 52}0.070{col 60}-.002677{col 73} .069254
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04561{col 33} .01835{col 43}2.4857{col 52}0.013{col 60} .009648{col 73}  .08158
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04561{col 33} .02198{col 43}2.0757{col 52}0.038{col 60} .002542{col 73} .088685
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-210Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5594{col 34}     7039{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1550{col 34}     4773{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.470{col 34}    3.470
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.470{col 34}    3.470
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01272{col 33} .01587{col 43}-0.8016{col 52}0.423{col 60}-.043836{col 73} .018388
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08057{col 33} .01587{col 43}5.0756{col 52}0.000{col 60} .049457{col 73} .111682
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08057{col 33} .02126{col 43}3.7900{col 52}0.000{col 60} .038904{col 73} .122235
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-200Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5717{col 34}     6916{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1675{col 34}     4766{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.575{col 34}    3.575
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.575{col 34}    3.575
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05614{col 33} .01522{col 43}-3.6891{col 52}0.000{col 60}-.085967{col 73}-.026314
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .07931{col 33} .01522{col 43}5.2119{col 52}0.000{col 60} .049487{col 73} .109141
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .07931{col 33} .02219{col 43}3.5742{col 52}0.000{col 60} .035821{col 73} .122807
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-190Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5841{col 34}     6792{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1734{col 34}     4639{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.462{col 34}    3.462
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.462{col 34}    3.462
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05486{col 33} .01441{col 43}-3.8068{col 52}0.000{col 60}  -.0831{col 73}-.026613
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08805{col 33} .01441{col 43}6.1103{col 52}0.000{col 60} .059808{col 73} .116296
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08805{col 33}  .0206{col 43}4.2742{col 52}0.000{col 60} .047675{col 73} .128429
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-180Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     5971{col 34}     6662{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1739{col 34}     4366{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.102{col 34}    3.102
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.102{col 34}    3.102
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0367{col 33} .01516{col 43}-2.4209{col 52}0.015{col 60}-.066412{col 73}-.006987
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .06794{col 33} .01516{col 43}4.4816{col 52}0.000{col 60} .038228{col 73} .097653
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .06794{col 33} .02126{col 43}3.1955{col 52}0.001{col 60} .026269{col 73} .109612
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-170Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6091{col 34}     6542{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1783{col 34}     4191{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.907{col 34}    2.907
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.907{col 34}    2.907
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02931{col 33} .01567{col 43}-1.8703{col 52}0.061{col 60}-.060025{col 73} .001405
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .08005{col 33} .01567{col 43}5.1078{col 52}0.000{col 60} .049331{col 73} .110762
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .08005{col 33} .02084{col 43}3.8408{col 52}0.000{col 60} .039198{col 73} .120894
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-160Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6214{col 34}     6419{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1859{col 34}     4104{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.853{col 34}    2.853
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.853{col 34}    2.853
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05529{col 33} .01634{col 43}-3.3844{col 52}0.001{col 60}-.087309{col 73}-.023271
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05921{col 33} .01634{col 43}3.6242{col 52}0.000{col 60} .027188{col 73} .091226
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05921{col 33} .02237{col 43}2.6468{col 52}0.008{col 60} .015363{col 73}  .10305
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-150Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6374{col 34}     6259{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1886{col 34}     3774{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.512{col 34}    2.512
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.512{col 34}    2.512
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04119{col 33} .01602{col 43}-2.5707{col 52}0.010{col 60}-.072603{col 73}-.009787
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .06198{col 33} .01602{col 43}3.8676{col 52}0.000{col 60}  .03057{col 73} .093387
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .06198{col 33} .02072{col 43}2.9908{col 52}0.003{col 60} .021362{col 73} .102595
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-140Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6527{col 34}     6106{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1973{col 34}     3624{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.415{col 34}    2.415
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.415{col 34}    2.415
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04968{col 33} .01683{col 43}-2.9518{col 52}0.003{col 60}-.082661{col 73}-.016692
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05664{col 33} .01683{col 43}3.3657{col 52}0.001{col 60} .023658{col 73} .089627
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05664{col 33} .02115{col 43}2.6778{col 52}0.007{col 60} .015184{col 73} .098101
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-130Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6681{col 34}     5952{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2082{col 34}     3525{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.385{col 34}    2.385
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.385{col 34}    2.385
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07253{col 33} .01695{col 43}-4.2781{col 52}0.000{col 60}-.105756{col 73}  -.0393
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01727{col 33} .01695{col 43}1.0185{col 52}0.308{col 60}-.015961{col 73} .050495
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01727{col 33}  .0214{col 43}0.8070{col 52}0.420{col 60}-.024671{col 73} .059205
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-120Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     6860{col 34}     5773{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2196{col 34}     3362{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.314{col 34}    2.314
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.314{col 34}    2.314
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06458{col 33} .01624{col 43}-3.9768{col 52}0.000{col 60}-.096401{col 73}-.032749
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01967{col 33} .01624{col 43}1.2115{col 52}0.226{col 60}-.012154{col 73} .051498
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01967{col 33}  .0199{col 43}0.9886{col 52}0.323{col 60}-.019331{col 73} .058676
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-110Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7040{col 34}     5593{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2314{col 34}     3203{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.254{col 34}    2.254
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.254{col 34}    2.254
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.07065{col 33} .01607{col 43}-4.3961{col 52}0.000{col 60}-.102151{col 73}-.039152
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00422{col 33} .01607{col 43}-0.2623{col 52}0.793{col 60}-.035715{col 73} .027284
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00422{col 33} .02154{col 43}-0.1957{col 52}0.845{col 60}-.046435{col 73} .038003
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-100Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7234{col 34}     5399{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2435{col 34}     3045{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.196{col 34}    2.196
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.196{col 34}    2.196
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.06657{col 33} .01561{col 43}-4.2647{col 52}0.000{col 60}-.097168{col 73}-.035977
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00142{col 33} .01561{col 43}-0.0913{col 52}0.927{col 60} -.03202{col 73} .029171
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00142{col 33} .02395{col 43}-0.0595{col 52}0.953{col 60}-.048366{col 73} .045516
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-90Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7432{col 34}     5201{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2584{col 34}     2905{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.200{col 34}    2.200
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.200{col 34}    2.200
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.08144{col 33} .01606{col 43}-5.0710{col 52}0.000{col 60}-.112913{col 73}-.049961
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0306{col 33} .01606{col 43}-1.9057{col 52}0.057{col 60}-.062081{col 73} .000871
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0306{col 33}   .021{col 43}-1.4575{col 52}0.145{col 60} -.07176{col 73}  .01055
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-80Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7667{col 34}     4966{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     2796{col 34}     2756{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.261{col 34}    2.261
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.261{col 34}    2.261
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       88

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.08148{col 33} .01902{col 43}-4.2850{col 52}0.000{col 60}-.118748{col 73} -.04421
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02793{col 33} .01902{col 43}-1.4687{col 52}0.142{col 60}-.065197{col 73} .009341
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02793{col 33} .02104{col 43}-1.3275{col 52}0.184{col 60}-.069162{col 73} .013306
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-70Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     7883{col 34}     4750{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3084{col 34}     2713{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.491{col 34}    2.491
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.491{col 34}    2.491
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05513{col 33} .02149{col 43}-2.5650{col 52}0.010{col 60}-.097252{col 73}-.013004
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05497{col 33} .02149{col 43}-2.5578{col 52}0.011{col 60}-.097098{col 73}-.012849
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05497{col 33} .02232{col 43}-2.4625{col 52}0.014{col 60}-.098728{col 73}-.011219
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-60Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8073{col 34}     4560{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3274{col 34}     2622{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.593{col 34}    2.593
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.593{col 34}    2.593
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       89

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.03561{col 33} .02422{col 43}-1.4705{col 52}0.141{col 60}-.083068{col 73} .011853
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.08004{col 33} .02422{col 43}-3.3054{col 52}0.001{col 60}-.127501{col 73}-.032579
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.08004{col 33}  .0239{col 43}-3.3495{col 52}0.001{col 60}-.126876{col 73}-.033204
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-50Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8256{col 34}     4377{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3609{col 34}     2653{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.039{col 34}    3.039
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.039{col 34}    3.039
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       90

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02915{col 33} .02321{col 43}1.2560{col 52}0.209{col 60}-.016336{col 73} .074632
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03547{col 33} .02321{col 43}-1.5283{col 52}0.126{col 60} -.08095{col 73} .010018
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03547{col 33} .02869{col 43}-1.2363{col 52}0.216{col 60} -.09169{col 73} .020758
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-40Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8467{col 34}     4166{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     3934{col 34}     2569{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.481{col 34}    3.481
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.481{col 34}    3.481
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       91

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .09022{col 33} .02272{col 43}3.9715{col 52}0.000{col 60} .045695{col 73} .134741
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00066{col 33} .02272{col 43}0.0291{col 52}0.977{col 60}-.043862{col 73} .045184
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00066{col 33} .03046{col 43}0.0217{col 52}0.983{col 60}-.059041{col 73} .060363
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-30Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8650{col 34}     3983{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4257{col 34}     2524{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.997{col 34}    3.997
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.997{col 34}    3.997
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .15458{col 33} .02416{col 43}6.3984{col 52}0.000{col 60} .107232{col 73} .201936
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0847{col 33} .02416{col 43}3.5058{col 52}0.000{col 60} .037348{col 73} .132053
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0847{col 33} .03345{col 43}2.5319{col 52}0.011{col 60} .019132{col 73} .150268
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-20Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8814{col 34}     3819{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4462{col 34}     2423{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.261{col 34}    4.261
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.261{col 34}    4.261
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .19855{col 33} .02527{col 43}7.8583{col 52}0.000{col 60} .149032{col 73} .248076
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .13243{col 33} .02527{col 43}5.2414{col 52}0.000{col 60} .082912{col 73} .181956
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .13243{col 33} .03294{col 43}4.0210{col 52}0.000{col 60} .067881{col 73} .196987
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake-10Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4735{col 34}     2346{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.760{col 34}    4.760
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.760{col 34}    4.760
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .22492{col 33} .02391{col 43}9.4083{col 52}0.000{col 60} .178065{col 73} .271778
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .16534{col 33} .02391{col 43}6.9159{col 52}0.000{col 60} .118482{col 73} .212195
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .16534{col 33} .03071{col 43}5.3841{col 52}0.000{col 60} .105151{col 73} .225526
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake0Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9116{col 34}     3517{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     4983{col 34}     2305{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.262{col 34}    5.262
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.262{col 34}    5.262
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}   .221{col 33} .02803{col 43}7.8856{col 52}0.000{col 60} .166073{col 73} .275933
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .15605{col 33} .02803{col 43}5.5681{col 52}0.000{col 60} .101123{col 73} .210982
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .15605{col 33} .03634{col 43}4.2941{col 52}0.000{col 60} .084825{col 73}  .22728
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake10Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9253{col 34}     3380{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5165{col 34}     2219{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.519{col 34}    5.519
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.519{col 34}    5.519
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .20845{col 33} .03001{col 43}6.9468{col 52}0.000{col 60} .149641{col 73} .267266
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .13453{col 33} .03001{col 43}4.4834{col 52}0.000{col 60}  .07572{col 73} .193346
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .13453{col 33} .04005{col 43}3.3595{col 52}0.001{col 60} .056044{col 73} .213022
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake20Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9386{col 34}     3247{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5157{col 34}     2046{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.120{col 34}    5.120
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.120{col 34}    5.120
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .15474{col 33}  .0286{col 43}5.4113{col 52}0.000{col 60} .098693{col 73} .210784
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05298{col 33}  .0286{col 43}1.8527{col 52}0.064{col 60}-.003067{col 73} .109024
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05298{col 33} .03825{col 43}1.3850{col 52}0.166{col 60}-.021996{col 73} .127953
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake30Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9525{col 34}     3108{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5119{col 34}     1839{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.555{col 34}    4.555
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.555{col 34}    4.555
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .08995{col 33} .03255{col 43}2.7635{col 52}0.006{col 60} .026153{col 73} .153745
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03446{col 33} .03255{col 43}-1.0588{col 52}0.290{col 60}-.098259{col 73} .029332
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03446{col 33}   .046{col 43}-0.7493{col 52}0.454{col 60}-.124615{col 73} .055688
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake40Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9621{col 34}     3012{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5149{col 34}     1743{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.457{col 34}    4.457
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.457{col 34}    4.457
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .06665{col 33}  .0321{col 43}2.0762{col 52}0.038{col 60}  .00373{col 73} .129578
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06395{col 33}  .0321{col 43}-1.9919{col 52}0.046{col 60}-.126872{col 73}-.001025
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06395{col 33} .04379{col 43}-1.4603{col 52}0.144{col 60}-.149778{col 73} .021881
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake50Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9719{col 34}     2914{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5186{col 34}     1647{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.386{col 34}    4.386
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.386{col 34}    4.386
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03178{col 33} .03435{col 43}0.9252{col 52}0.355{col 60}-.035547{col 73} .099111
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.09231{col 33} .03435{col 43}-2.6872{col 52}0.007{col 60}-.159639{col 73}-.024981
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.09231{col 33} .04799{col 43}-1.9235{col 52}0.054{col 60}-.186369{col 73} .001749
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake60Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9809{col 34}     2824{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5268{col 34}     1581{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.467{col 34}    4.467
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.467{col 34}    4.467
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       92{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01716{col 33} .03743{col 43}0.4583{col 52}0.647{col 60}-.056211{col 73} .090524
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.08231{col 33} .03743{col 43}-2.1988{col 52}0.028{col 60}-.155674{col 73}-.008939
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.08231{col 33} .05079{col 43}-1.6207{col 52}0.105{col 60}-.181845{col 73} .017232
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake70Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9914{col 34}     2719{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5282{col 34}     1466{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.261{col 34}    4.261
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.261{col 34}    4.261
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02598{col 33} .04018{col 43}-0.6464{col 52}0.518{col 60}-.104733{col 73} .052783
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.10032{col 33} .04018{col 43}-2.4967{col 52}0.013{col 60}-.179082{col 73}-.021566
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.10032{col 33} .05607{col 43}-1.7892{col 52}0.074{col 60}-.210223{col 73} .009574
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake80Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     9983{col 34}     2650{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5220{col 34}     1383{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.076{col 34}    4.076
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.076{col 34}    4.076
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       91{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02475{col 33} .04068{col 43}-0.6085{col 52}0.543{col 60}-.104486{col 73} .054979
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.06544{col 33} .04068{col 43}-1.6086{col 52}0.108{col 60}-.145172{col 73} .014293
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.06544{col 33} .05432{col 43}-1.2046{col 52}0.228{col 60}-.171912{col 73} .041033
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake90Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10055{col 34}     2578{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5170{col 34}     1305{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.940{col 34}    3.940
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.940{col 34}    3.940
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.08273{col 33} .04113{col 43}-2.0112{col 52}0.044{col 60}-.163351{col 73}-.002109
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.10715{col 33} .04113{col 43}-2.6049{col 52}0.009{col 60}-.187772{col 73} -.02653
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.10715{col 33} .05422{col 43}-1.9761{col 52}0.048{col 60}-.213426{col 73}-.000876
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake100Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10141{col 34}     2492{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5213{col 34}     1239{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.951{col 34}    3.951
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.951{col 34}    3.951
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09898{col 33} .04389{col 43}-2.2551{col 52}0.024{col 60}-.184998{col 73}-.012954
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.07885{col 33} .04389{col 43}-1.7965{col 52}0.072{col 60} -.16487{col 73} .007174
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.07885{col 33} .05595{col 43}-1.4093{col 52}0.159{col 60}-.188509{col 73} .030812
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake110Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10215{col 34}     2418{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5055{col 34}     1137{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.690{col 34}    3.690
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.690{col 34}    3.690
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.17235{col 33} .04325{col 43}-3.9853{col 52}0.000{col 60}-.257113{col 73}-.087588
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.14814{col 33} .04325{col 43}-3.4255{col 52}0.001{col 60}-.232906{col 73}-.063381
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.14814{col 33} .05556{col 43}-2.6663{col 52}0.008{col 60}-.257042{col 73}-.039245
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake120Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10279{col 34}     2354{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5081{col 34}     1094{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.729{col 34}    3.729
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.729{col 34}    3.729
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.21578{col 33} .04849{col 43}-4.4499{col 52}0.000{col 60}-.310826{col 73}-.120741
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.15827{col 33} .04849{col 43}-3.2639{col 52}0.001{col 60}-.253317{col 73}-.063231
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.15827{col 33} .05736{col 43}-2.7592{col 52}0.006{col 60}-.270702{col 73}-.045845
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake130Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10337{col 34}     2296{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5112{col 34}     1056{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.790{col 34}    3.790
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.790{col 34}    3.790
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.2222{col 33} .05051{col 43}-4.3991{col 52}0.000{col 60}-.321198{col 73}-.123201
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  -.138{col 33} .05051{col 43}-2.7320{col 52}0.006{col 60}-.236996{col 73}-.038998
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  -.138{col 33} .06023{col 43}-2.2912{col 52}0.022{col 60}-.256043{col 73}-.019951
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake140Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10380{col 34}     2253{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5003{col 34}     1017{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.712{col 34}    3.712
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.712{col 34}    3.712
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.24279{col 33} .05225{col 43}-4.6468{col 52}0.000{col 60}-.345201{col 73}-.140386
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.13837{col 33} .05225{col 43}-2.6483{col 52}0.008{col 60} -.24078{col 73}-.035965
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.13837{col 33} .05956{col 43}-2.3232{col 52}0.020{col 60}-.255112{col 73}-.021633
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake150Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10449{col 34}     2184{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5177{col 34}      995{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.930{col 34}    3.930
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.930{col 34}    3.930
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.18432{col 33} .05404{col 43}-3.4106{col 52}0.001{col 60}-.290244{col 73}-.078398
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03592{col 33} .05404{col 43}-0.6646{col 52}0.506{col 60}-.141841{col 73} .070006
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03592{col 33} .06272{col 43}-0.5727{col 52}0.567{col 60}-.158842{col 73} .087007
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake160Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10495{col 34}     2138{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5147{col 34}      968{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.952{col 34}    3.952
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.952{col 34}    3.952
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.16548{col 33} .05276{col 43}-3.1365{col 52}0.002{col 60}-.268885{col 73}-.062074
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0292{col 33} .05276{col 43}0.5535{col 52}0.580{col 60}-.074204{col 73} .132607
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0292{col 33} .06281{col 43}0.4649{col 52}0.642{col 60}-.093912{col 73} .152315
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake170Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10547{col 34}     2086{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5211{col 34}      941{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.065{col 34}    4.065
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.065{col 34}    4.065
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.18482{col 33} .05055{col 43}-3.6560{col 52}0.000{col 60}-.283897{col 73}-.085737
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01162{col 33} .05055{col 43}0.2299{col 52}0.818{col 60}-.087457{col 73} .110703
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01162{col 33} .06151{col 43}0.1890{col 52}0.850{col 60} -.10893{col 73} .132175
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake180Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10599{col 34}     2034{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5318{col 34}      914{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.220{col 34}    4.220
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.220{col 34}    4.220
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       91

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.19424{col 33} .05182{col 43}-3.7485{col 52}0.000{col 60}-.295803{col 73}-.092678
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02206{col 33} .05182{col 43}-0.4257{col 52}0.670{col 60}-.123623{col 73} .079502
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02206{col 33} .06132{col 43}-0.3597{col 52}0.719{col 60} -.14225{col 73} .098129
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake190Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10659{col 34}     1974{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5380{col 34}      873{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.322{col 34}    4.322
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.322{col 34}    4.322
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.19264{col 33} .05584{col 43}-3.4502{col 52}0.001{col 60} -.30208{col 73}-.083209
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05827{col 33} .05584{col 43}-1.0435{col 52}0.297{col 60}-.167701{col 73}  .05117
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05827{col 33}  .0699{col 43}-0.8335{col 52}0.405{col 60}-.195269{col 73} .078738
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake200Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10695{col 34}     1938{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5294{col 34}      840{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.286{col 34}    4.286
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.286{col 34}    4.286
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       92

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.19099{col 33} .05486{col 43}-3.4818{col 52}0.000{col 60} -.29851{col 73}-.083479
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02695{col 33} .05486{col 43}-0.4913{col 52}0.623{col 60}-.134463{col 73} .080567
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02695{col 33} .07035{col 43}-0.3831{col 52}0.702{col 60}-.164823{col 73} .110927
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake210Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10739{col 34}     1894{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5411{col 34}      819{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.471{col 34}    4.471
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.471{col 34}    4.471
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       93

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.16486{col 33} .05669{col 43}-2.9081{col 52}0.004{col 60}-.275965{col 73}-.053747
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04935{col 33} .05669{col 43}0.8705{col 52}0.384{col 60}-.061761{col 73} .160456
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04935{col 33} .07081{col 43}0.6969{col 52}0.486{col 60}-.089433{col 73} .188128
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake220Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10789{col 34}     1844{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5526{col 34}      784{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.638{col 34}    4.638
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.638{col 34}    4.638
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       93

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.14328{col 33} .05508{col 43}-2.6013{col 52}0.009{col 60} -.25124{col 73}-.035327
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .05025{col 33} .05508{col 43}0.9123{col 52}0.362{col 60}-.057706{col 73} .158207
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .05025{col 33} .07175{col 43}0.7003{col 52}0.484{col 60}-.090386{col 73} .190887
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake230Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10821{col 34}     1812{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5351{col 34}      751{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.520{col 34}    4.520
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.520{col 34}    4.520
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       93

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09312{col 33} .05688{col 43}-1.6370{col 52}0.102{col 60}-.204603{col 73} .018372
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .16707{col 33} .05688{col 43}2.9370{col 52}0.003{col 60} .055579{col 73} .278554
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .16707{col 33} .07253{col 43}2.3036{col 52}0.021{col 60} .024919{col 73} .309214
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake240Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10862{col 34}     1771{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5502{col 34}      738{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.735{col 34}    4.735
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.735{col 34}    4.735
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       94

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09766{col 33}  .0568{col 43}-1.7192{col 52}0.086{col 60}-.208988{col 73} .013676
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .10195{col 33}  .0568{col 43}1.7949{col 52}0.073{col 60}-.009379{col 73} .213285
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .10195{col 33} .07624{col 43}1.3372{col 52}0.181{col 60}-.047482{col 73} .251388
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake250Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10893{col 34}     1740{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5568{col 34}      723{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.877{col 34}    4.877
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.877{col 34}    4.877
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       94

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.11817{col 33} .05989{col 43}-1.9729{col 52}0.049{col 60}-.235553{col 73}-.000777
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .12089{col 33} .05989{col 43}2.0184{col 52}0.044{col 60} .003501{col 73} .238278
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .12089{col 33} .07644{col 43}1.5814{col 52}0.114{col 60}-.028937{col 73} .270716
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake260Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10929{col 34}     1704{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5604{col 34}      704{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.977{col 34}    4.977
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.977{col 34}    4.977
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       94

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09484{col 33} .06182{col 43}-1.5343{col 52}0.125{col 60}-.216004{col 73} .026315
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .16038{col 33} .06182{col 43}2.5944{col 52}0.009{col 60} .039221{col 73}  .28154
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .16038{col 33} .07919{col 43}2.0253{col 52}0.043{col 60} .005171{col 73} .315591
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake270Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10946{col 34}     1687{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5411{col 34}      687{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.863{col 34}    4.863
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.863{col 34}    4.863
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       94

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.08229{col 33} .05771{col 43}-1.4260{col 52}0.154{col 60}-.195394{col 73} .030813
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .20543{col 33} .05771{col 43}3.5599{col 52}0.000{col 60} .092327{col 73} .318534
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .20543{col 33} .07607{col 43}2.7006{col 52}0.007{col 60} .056337{col 73} .354524
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake280Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10964{col 34}     1669{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5464{col 34}      682{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.989{col 34}    4.989
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.989{col 34}    4.989
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       94

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.12432{col 33} .05892{col 43}-2.1099{col 52}0.035{col 60}-.239807{col 73}-.008832
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .20774{col 33} .05892{col 43}3.5256{col 52}0.000{col 60} .092253{col 73} .323228
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .20774{col 33} .07826{col 43}2.6545{col 52}0.008{col 60} .054352{col 73} .361128
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake290Denmark.dta{rm}
saved
{p_end}
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}     12633
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    10992{col 34}     1641{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5593{col 34}      670{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.189{col 34}    5.189
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.189{col 34}    5.189
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       90{col 34}       94

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.1276{col 33} .06067{col 43}-2.1031{col 52}0.035{col 60}-.246513{col 73}-.008684
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .19087{col 33} .06067{col 43}3.1459{col 52}0.002{col 60} .071955{col 73} .309783
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .19087{col 33} .08077{col 43}2.3631{col 52}0.018{col 60} .032562{col 73} .349176
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
{res}{txt}{p 0 4 2}
file {bf}
fake300Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Denmark.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Denmark.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    42493{col 34}   112050{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     9612{col 34}    16245{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.954{col 34}    0.954
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.954{col 34}    0.954
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    21313{col 34}    66562
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      429{col 34}      441

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0001{col 33} .00698{col 43}-0.0149{col 52}0.988{col 60}-.013784{col 73} .013576
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0048{col 33} .00698{col 43}0.6879{col 52}0.491{col 60}-.008879{col 73} .018482
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0048{col 33}  .0093{col 43}0.5161{col 52}0.606{col 60}-.013432{col 73} .023035
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-300Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    43806{col 34}   110737{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10129{col 34}    17306{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.952{col 34}    0.952
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.952{col 34}    0.952
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    21893{col 34}    65982
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      429{col 34}      441

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00579{col 33} .00683{col 43}0.8489{col 52}0.396{col 60}-.007584{col 73} .019174
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00813{col 33} .00683{col 43}1.1917{col 52}0.233{col 60}-.005244{col 73} .021513
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00813{col 33}   .009{col 43}0.9041{col 52}0.366{col 60}  -.0095{col 73} .025769
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-290Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    45203{col 34}   109340{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10570{col 34}    18232{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.944{col 34}    0.944
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.944{col 34}    0.944
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    22533{col 34}    65342
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      430{col 34}      441

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00139{col 33} .00672{col 43}0.2074{col 52}0.836{col 60}-.011785{col 73} .014575
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} 7.8e-06{col 33} .00672{col 43}0.0012{col 52}0.999{col 60}-.013173{col 73} .013188
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} 7.8e-06{col 33} .00893{col 43}0.0009{col 52}0.999{col 60} -.01749{col 73} .017505
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-280Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    46706{col 34}   107837{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11187{col 34}    19338{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.945{col 34}    0.945
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.945{col 34}    0.945
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    23245{col 34}    64630
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      433{col 34}      441

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00472{col 33} .00656{col 43}0.7189{col 52}0.472{col 60}-.008145{col 73}  .01758
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00692{col 33} .00656{col 43}1.0544{col 52}0.292{col 60}-.005943{col 73} .019782
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00692{col 33} .00836{col 43}0.8280{col 52}0.408{col 60} -.00946{col 73}   .0233
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-270Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    48263{col 34}   106280{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12187{col 34}    21937{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.989{col 34}    0.989
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.989{col 34}    0.989
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    23979{col 34}    63896
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      432{col 34}      442

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00253{col 33}  .0059{col 43}0.4288{col 52}0.668{col 60}-.009034{col 73} .014095
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-5.7e-05{col 33}  .0059{col 43}-0.0096{col 52}0.992{col 60}-.011621{col 73} .011508
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-5.7e-05{col 33} .00795{col 43}-0.0072{col 52}0.994{col 60}-.015644{col 73}  .01553
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-260Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    49858{col 34}   104685{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12779{col 34}    23150{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.986{col 34}    0.986
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.986{col 34}    0.986
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    24722{col 34}    63153
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      436{col 34}      442

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00189{col 33} .00584{col 43}-0.3228{col 52}0.747{col 60}-.013338{col 73} .009566
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00447{col 33} .00584{col 43}-0.7642{col 52}0.445{col 60}-.015917{col 73} .006987
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00447{col 33} .00738{col 43}-0.6048{col 52}0.545{col 60}-.018935{col 73} .010004
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-250Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    51587{col 34}   102956{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    13946{col 34}    25874{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.034{col 34}    1.034
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.034{col 34}    1.034
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    25529{col 34}    62346
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      439{col 34}      442

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0067{col 33} .00541{col 43}1.2396{col 52}0.215{col 60}-.003894{col 73} .017295
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00913{col 33} .00541{col 43}1.6890{col 52}0.091{col 60}-.001465{col 73} .019724
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00913{col 33}   .007{col 43}1.3043{col 52}0.192{col 60}-.004589{col 73} .022849
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-240Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    53380{col 34}   101163{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17093{col 34}    34179{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.268{col 34}    1.268
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.268{col 34}    1.268
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    26370{col 34}    61505
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      439{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00724{col 33}  .0051{col 43}1.4177{col 52}0.156{col 60}-.002768{col 73} .017241
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00314{col 33}  .0051{col 43}0.6157{col 52}0.538{col 60}-.006861{col 73} .013147
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00314{col 33} .00677{col 43}0.4641{col 52}0.643{col 60}-.010131{col 73} .016417
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-230Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    55498{col 34}    99045{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18808{col 34}    36417{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.323{col 34}    1.323
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.323{col 34}    1.323
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    27371{col 34}    60504
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00501{col 33} .00494{col 43}1.0154{col 52}0.310{col 60}-.004665{col 73} .014694
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00063{col 33} .00494{col 43}0.1282{col 52}0.898{col 60}-.009046{col 73} .010313
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00063{col 33}  .0066{col 43}0.0960{col 52}0.924{col 60}-.012301{col 73} .013567
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-220Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    57531{col 34}    97012{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18259{col 34}    33369{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.185{col 34}    1.185
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.185{col 34}    1.185
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    28355{col 34}    59520
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00302{col 33} .00519{col 43}0.5820{col 52}0.561{col 60}-.007154{col 73} .013197
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00037{col 33} .00519{col 43}-0.0704{col 52}0.944{col 60}-.010541{col 73}  .00981
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00037{col 33} .00689{col 43}-0.0531{col 52}0.958{col 60}-.013865{col 73} .013134
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-210Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    59815{col 34}    94728{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18284{col 34}    31018{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.083{col 34}    1.083
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.083{col 34}    1.083
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    29471{col 34}    58404
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      441{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00408{col 33} .00539{col 43}0.7572{col 52}0.449{col 60}-.006487{col 73} .014654
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00138{col 33} .00539{col 43}0.2552{col 52}0.799{col 60}-.009194{col 73} .011947
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00138{col 33} .00671{col 43}0.2052{col 52}0.837{col 60}-.011768{col 73} .014521
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-200Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    62342{col 34}    92201{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    18532{col 34}    28910{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.999{col 34}    0.999
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.999{col 34}    0.999
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    30656{col 34}    57219
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00373{col 33} .00515{col 43}0.7245{col 52}0.469{col 60} -.00636{col 73}  .01382
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00455{col 33} .00515{col 43}0.8846{col 52}0.376{col 60}-.005536{col 73} .014644
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00455{col 33} .00667{col 43}0.6828{col 52}0.495{col 60}-.008519{col 73} .017626
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-190Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    64821{col 34}    89722{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    19306{col 34}    28477{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.977{col 34}    0.977
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.977{col 34}    0.977
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    31914{col 34}    55961
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      441{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00064{col 33} .00552{col 43}-0.1152{col 52}0.908{col 60} -.01146{col 73} .010187
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01233{col 33} .00552{col 43}-2.2326{col 52}0.026{col 60}-.023153{col 73}-.001506
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01233{col 33} .00697{col 43}-1.7678{col 52}0.077{col 60}-.025998{col 73}  .00134
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-180Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    67525{col 34}    87018{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20178{col 34}    27820{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.958{col 34}    0.958
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.958{col 34}    0.958
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    33283{col 34}    54592
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00547{col 33} .00555{col 43}0.9855{col 52}0.324{col 60}-.005408{col 73} .016345
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00483{col 33} .00555{col 43}0.8705{col 52}0.384{col 60}-.006045{col 73} .015707
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00483{col 33} .00662{col 43}0.7298{col 52}0.466{col 60}-.008144{col 73} .017805
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-170Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    70501{col 34}    84042{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    22307{col 34}    28167{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.004{col 34}    1.004
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.004{col 34}    1.004
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    34770{col 34}    53105
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00237{col 33} .00577{col 43}0.4099{col 52}0.682{col 60}-.008951{col 73} .013684
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00058{col 33} .00577{col 43}0.1013{col 52}0.919{col 60}-.010733{col 73} .011902
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00058{col 33} .00762{col 43}0.0767{col 52}0.939{col 60}-.014349{col 73} .015519
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-160Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    73450{col 34}    81093{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24168{col 34}    27951{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.037{col 34}    1.037
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.037{col 34}    1.037
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    36275{col 34}    51600
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00325{col 33} .00584{col 43}0.5567{col 52}0.578{col 60}-.008191{col 73}  .01469
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00598{col 33} .00584{col 43}-1.0237{col 52}0.306{col 60}-.017416{col 73} .005465
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00598{col 33} .00728{col 43}-0.8207{col 52}0.412{col 60}-.020245{col 73} .008294
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-150Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    76485{col 34}    78058{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28528{col 34}    29836{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.219{col 34}    1.219
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.219{col 34}    1.219
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    37861{col 34}    50014
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      442{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00467{col 33} .00616{col 43}-0.7579{col 52}0.449{col 60}-.016733{col 73} .007401
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  -.001{col 33} .00616{col 43}-0.1621{col 52}0.871{col 60}-.013065{col 73} .011069
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  -.001{col 33} .00715{col 43}-0.1397{col 52}0.889{col 60}-.015003{col 73} .013007
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-140Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    79489{col 34}    75054{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    34139{col 34}    31220{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.489{col 34}    1.489
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.489{col 34}    1.489
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    39543{col 34}    48332
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00843{col 33} .00578{col 43}1.4588{col 52}0.145{col 60}-.002895{col 73} .019753
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00885{col 33} .00578{col 43}1.5318{col 52}0.126{col 60}-.002474{col 73} .020174
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00885{col 33} .00743{col 43}1.1917{col 52}0.233{col 60}-.005706{col 73} .023406
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-130Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    82555{col 34}    71988{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36862{col 34}    30509{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.564{col 34}    1.564
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.564{col 34}    1.564
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    41192{col 34}    46683
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00246{col 33} .00658{col 43}-0.3744{col 52}0.708{col 60}-.015356{col 73} .010431
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00791{col 33} .00658{col 43}1.2023{col 52}0.229{col 60}-.004984{col 73} .020802
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00791{col 33}  .0075{col 43}1.0548{col 52}0.292{col 60}-.006786{col 73} .022604
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-120Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    85590{col 34}    68953{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    33722{col 34}    25077{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.286{col 34}    1.286
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.286{col 34}    1.286
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    42894{col 34}    44981
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00125{col 33} .00742{col 43}0.1680{col 52}0.867{col 60}-.013296{col 73}  .01579
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00751{col 33} .00742{col 43}-1.0124{col 52}0.311{col 60}-.022055{col 73} .007031
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00751{col 33} .00865{col 43}-0.8682{col 52}0.385{col 60}-.024469{col 73} .009445
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-110Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    88484{col 34}    66059{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    34059{col 34}    23036{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.248{col 34}    1.248
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.248{col 34}    1.248
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    44568{col 34}    43307
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00648{col 33} .00928{col 43}0.6980{col 52}0.485{col 60}-.011717{col 73} .024679
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00935{col 33} .00928{col 43}1.0066{col 52}0.314{col 60}-.008852{col 73} .027545
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00935{col 33} .00932{col 43}1.0030{col 52}0.316{col 60}-.008917{col 73}  .02761
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-100Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    91260{col 34}    63283{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    35026{col 34}    21793{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.263{col 34}    1.263
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.263{col 34}    1.263
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    46197{col 34}    41678
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00508{col 33} .01097{col 43}0.4634{col 52}0.643{col 60}-.016418{col 73} .026586
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02167{col 33} .01097{col 43}1.9749{col 52}0.048{col 60} .000164{col 73} .043168
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02167{col 33} .01207{col 43}1.7946{col 52}0.073{col 60}-.001996{col 73} .045328
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-90Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    93853{col 34}    60690{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    36496{col 34}    21056{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.308{col 34}    1.308
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.308{col 34}    1.308
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    47738{col 34}    40137
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      443

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0168{col 33} .01214{col 43}-1.3836{col 52}0.166{col 60}-.040587{col 73} .006997
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0106{col 33} .01214{col 43}-0.8729{col 52}0.383{col 60}-.034388{col 73} .013196
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0106{col 33} .01376{col 43}-0.7701{col 52}0.441{col 60}-.037562{col 73} .016371
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-80Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    96344{col 34}    58199{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    37228{col 34}    20090{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.330{col 34}    1.330
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.330{col 34}    1.330
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    49250{col 34}    38625
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      442

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01421{col 33} .01277{col 43}-1.1126{col 52}0.266{col 60} -.03923{col 73}  .01082
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01483{col 33} .01277{col 43}1.1615{col 52}0.245{col 60}-.010194{col 73} .039855
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01483{col 33} .01404{col 43}1.0566{col 52}0.291{col 60} -.01268{col 73}  .04234
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-70Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    98551{col 34}    55992{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    37943{col 34}    19523{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.369{col 34}    1.369
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.369{col 34}    1.369
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    50578{col 34}    37297
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      442

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00945{col 33} .01264{col 43}-0.7482{col 52}0.454{col 60} -.03422{col 73} .015311
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01537{col 33} .01264{col 43}1.2168{col 52}0.224{col 60}-.009391{col 73}  .04014
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01537{col 33} .01438{col 43}1.0693{col 52}0.285{col 60}-.012807{col 73} .043556
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-60Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   100666{col 34}    53877{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    40280{col 34}    19797{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.478{col 34}    1.478
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.478{col 34}    1.478
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    51822{col 34}    36053
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01915{col 33} .01252{col 43}-1.5300{col 52}0.126{col 60}-.043682{col 73} .005382
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03085{col 33} .01252{col 43}-2.4643{col 52}0.014{col 60}-.055378{col 73}-.006313
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03085{col 33}  .0143{col 43}-2.1575{col 52}0.031{col 60}-.058866{col 73}-.002825
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-50Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   102654{col 34}    51889{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    41483{col 34}    19571{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.545{col 34}    1.545
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.545{col 34}    1.545
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    53022{col 34}    34853
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01805{col 33} .01243{col 43}-1.4518{col 52}0.147{col 60}-.042409{col 73} .006316
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04295{col 33} .01243{col 43}-3.4554{col 52}0.001{col 60}-.067314{col 73}-.018588
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04295{col 33} .01411{col 43}-3.0438{col 52}0.002{col 60}-.070608{col 73}-.015294
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-40Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   104400{col 34}    50143{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    44437{col 34}    20185{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.694{col 34}    1.694
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.694{col 34}    1.694
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    54096{col 34}    33779
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      444

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01008{col 33} .01221{col 43}0.8256{col 52}0.409{col 60} -.01385{col 73} .034008
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02879{col 33} .01221{col 43}-2.3581{col 52}0.018{col 60}-.052719{col 73}-.004861
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02879{col 33} .01356{col 43}-2.1229{col 52}0.034{col 60} -.05537{col 73} -.00221
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-30Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   106034{col 34}    48509{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    47733{col 34}    20927{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.865{col 34}    1.865
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.865{col 34}    1.865
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    55140{col 34}    32735
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05302{col 33} .01198{col 43}4.4267{col 52}0.000{col 60} .029545{col 73} .076495
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01082{col 33} .01198{col 43}0.9031{col 52}0.366{col 60}-.012659{col 73} .034292
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01082{col 33} .01448{col 43}0.7469{col 52}0.455{col 60}-.017567{col 73}   .0392
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-20Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = -.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   107630{col 34}    46913{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    54154{col 34}    22496{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.196{col 34}    2.196
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.196{col 34}    2.196
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56196{col 34}    31679
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .07653{col 33} .01159{col 43}6.6036{col 52}0.000{col 60} .053819{col 73}  .09925
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .03462{col 33} .01159{col 43}2.9870{col 52}0.003{col 60} .011903{col 73} .057335
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .03462{col 33} .01466{col 43}2.3610{col 52}0.018{col 60} .005881{col 73} .063358
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake-10Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108578{col 34}    45965{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    55717{col 34}    23090{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.328{col 34}    2.328
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.328{col 34}    2.328
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    56943{col 34}    30932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .06654{col 33} .01148{col 43}5.7962{col 52}0.000{col 60}  .04404{col 73} .089041
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .02715{col 33} .01148{col 43}2.3651{col 52}0.018{col 60} .004651{col 73} .049652
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .02715{col 33} .01559{col 43}1.7414{col 52}0.082{col 60}-.003408{col 73} .057711
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake0Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   109477{col 34}    45066{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    53136{col 34}    22370{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.258{col 34}    2.258
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.258{col 34}    2.258
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    57656{col 34}    30219
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03883{col 33} .01125{col 43}3.4522{col 52}0.001{col 60} .016783{col 73}  .06087
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00608{col 33} .01125{col 43}-0.5408{col 52}0.589{col 60}-.028126{col 73} .015962
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00608{col 33} .01568{col 43}-0.3878{col 52}0.698{col 60}-.036821{col 73} .024658
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake10Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   110873{col 34}    43670{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    45332{col 34}    19826{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.974{col 34}    1.974
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.974{col 34}    1.974
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    58622{col 34}    29253
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0048{col 33} .01317{col 43}0.3642{col 52}0.716{col 60} -.02102{col 73} .030614
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00696{col 33} .01317{col 43}-0.5281{col 52}0.597{col 60}-.032774{col 73} .018861
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00696{col 33} .01724{col 43}-0.4036{col 52}0.687{col 60}-.040742{col 73} .026829
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake20Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   112241{col 34}    42302{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    41607{col 34}    18600{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.895{col 34}    1.895
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.895{col 34}    1.895
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    59497{col 34}    28378
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02142{col 33} .01421{col 43}-1.5075{col 52}0.132{col 60} -.04927{col 73} .006429
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02046{col 33} .01421{col 43}-1.4400{col 52}0.150{col 60}-.048312{col 73} .007388
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02046{col 33} .01806{col 43}-1.1328{col 52}0.257{col 60}-.055866{col 73} .014942
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake30Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   113524{col 34}    41019{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    38514{col 34}    17654{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.848{col 34}    1.848
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.848{col 34}    1.848
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    60308{col 34}    27567
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04536{col 33} .01523{col 43}-2.9786{col 52}0.003{col 60}-.075204{col 73}-.015511
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03448{col 33} .01523{col 43}-2.2641{col 52}0.024{col 60}-.064324{col 73}-.004632
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03448{col 33} .01891{col 43}-1.8236{col 52}0.068{col 60}-.071535{col 73} .002579
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake40Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114800{col 34}    39743{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    35346{col 34}    16702{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.801{col 34}    1.801
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.801{col 34}    1.801
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    61134{col 34}    26741
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -.0584{col 33} .01536{col 43}-3.8017{col 52}0.000{col 60}-.088501{col 73} -.02829
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03033{col 33} .01536{col 43}-1.9748{col 52}0.048{col 60}-.060439{col 73}-.000227
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03033{col 33} .01962{col 43}-1.5457{col 52}0.122{col 60}-.068797{col 73} .008131
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake50Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   116071{col 34}    38472{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    31727{col 34}    15669{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.741{col 34}    1.741
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.741{col 34}    1.741
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    61905{col 34}    25970
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.05853{col 33} .01599{col 43}-3.6610{col 52}0.000{col 60}-.089873{col 73}-.027197
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01649{col 33} .01599{col 43}-1.0315{col 52}0.302{col 60} -.04783{col 73} .014846
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01649{col 33} .01981{col 43}-0.8324{col 52}0.405{col 60}-.055322{col 73} .022338
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake60Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   117297{col 34}    37246{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    29158{col 34}    14870{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.711{col 34}    1.711
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.711{col 34}    1.711
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    62677{col 34}    25198
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02559{col 33} .01613{col 43}-1.5870{col 52}0.113{col 60}-.057204{col 73} .006016
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04099{col 33} .01613{col 43}2.5414{col 52}0.011{col 60} .009377{col 73} .072597
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04099{col 33} .01984{col 43}2.0654{col 52}0.039{col 60} .002092{col 73} .079882
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake70Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   118448{col 34}    36095{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27523{col 34}    14286{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.713{col 34}    1.713
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.713{col 34}    1.713
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    63367{col 34}    24508
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02561{col 33} .01621{col 43}-1.5796{col 52}0.114{col 60}-.057376{col 73} .006166
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .04029{col 33} .01621{col 43}2.4858{col 52}0.013{col 60} .008523{col 73} .072065
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .04029{col 33} .02046{col 43}1.9699{col 52}0.049{col 60} .000203{col 73} .080385
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake80Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = .9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   119606{col 34}    34937{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25723{col 34}    13631{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.699{col 34}    1.699
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.699{col 34}    1.699
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    64072{col 34}    23803
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.04015{col 33} .01578{col 43}-2.5443{col 52}0.011{col 60}-.071082{col 73}-.009221
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01618{col 33} .01578{col 43}-1.0256{col 52}0.305{col 60}-.047115{col 73} .014746
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01618{col 33}    .02{col 43}-0.8091{col 52}0.418{col 60}-.055391{col 73} .023022
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake90Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   120706{col 34}    33837{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24425{col 34}    13085{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.702{col 34}    1.702
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.702{col 34}    1.702
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    64757{col 34}    23118
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02158{col 33} .01558{col 43}-1.3850{col 52}0.166{col 60}-.052109{col 73} .008957
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00499{col 33} .01558{col 43}0.3201{col 52}0.749{col 60}-.025547{col 73} .035519
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00499{col 33} .02086{col 43}0.2390{col 52}0.811{col 60}-.035899{col 73} .045871
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake100Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   121768{col 34}    32775{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    23519{col 34}    12637{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.715{col 34}    1.715
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.715{col 34}    1.715
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    65429{col 34}    22446
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00437{col 33} .01631{col 43}-0.2683{col 52}0.788{col 60}-.036334{col 73} .027584
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .01717{col 33} .01631{col 43}1.0528{col 52}0.292{col 60}-.014791{col 73} .049126
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .01717{col 33} .02073{col 43}0.8280{col 52}0.408{col 60}-.023471{col 73} .057805
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake110Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   122747{col 34}    31796{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    22711{col 34}    12245{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.731{col 34}    1.731
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.731{col 34}    1.731
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    66056{col 34}    21819
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00083{col 33} .01652{col 43}0.0505{col 52}0.960{col 60} -.03154{col 73} .033207
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00406{col 33} .01652{col 43}-0.2455{col 52}0.806{col 60}-.036429{col 73} .028318
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00406{col 33} .02067{col 43}-0.1962{col 52}0.844{col 60}-.044575{col 73} .036464
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake120Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   123757{col 34}    30786{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24140{col 34}    12301{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.851{col 34}    1.851
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.851{col 34}    1.851
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    66661{col 34}    21214
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .05105{col 33} .01657{col 43}3.0803{col 52}0.002{col 60} .018568{col 73} .083536
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0735{col 33} .01657{col 43}4.4347{col 52}0.000{col 60} .041016{col 73} .105984
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0735{col 33} .02138{col 43}3.4376{col 52}0.001{col 60} .031593{col 73} .115407
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake130Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   124638{col 34}    29905{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    22963{col 34}    11860{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.851{col 34}    1.851
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.851{col 34}    1.851
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67222{col 34}    20653
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      444{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .04119{col 33}  .0169{col 43}2.4375{col 52}0.015{col 60} .008069{col 73} .074302
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  .0218{col 33}  .0169{col 43}1.2900{col 52}0.197{col 60}-.011321{col 73} .054912
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  .0218{col 33} .02173{col 43}1.0032{col 52}0.316{col 60}-.020788{col 73}  .06438
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake140Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   125567{col 34}    28976{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    22862{col 34}    11541{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.898{col 34}    1.898
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.898{col 34}    1.898
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67799{col 34}    20076
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03483{col 33} .01712{col 43}2.0341{col 52}0.042{col 60}  .00127{col 73} .068386
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0189{col 33} .01712{col 43}-1.1041{col 52}0.270{col 60}-.052463{col 73} .014654
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0189{col 33} .02281{col 43}-0.8287{col 52}0.407{col 60}-.063614{col 73} .025806
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake150Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   126431{col 34}    28112{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    22423{col 34}    11167{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.924{col 34}    1.924
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.924{col 34}    1.924
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    68326{col 34}    19549
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02304{col 33} .01697{col 43}1.3575{col 52}0.175{col 60}-.010225{col 73} .056303
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.05082{col 33} .01697{col 43}-2.9946{col 52}0.003{col 60}-.084088{col 73} -.01756
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.05082{col 33} .02257{col 43}-2.2519{col 52}0.024{col 60}-.095059{col 73}-.006589
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake160Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   127249{col 34}    27294{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    23022{col 34}    11076{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.011{col 34}    2.011
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.011{col 34}    2.011
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    68806{col 34}    19069
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02191{col 33} .01644{col 43}1.3327{col 52}0.183{col 60}-.010312{col 73}  .05413
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04988{col 33} .01644{col 43}-3.0344{col 52}0.002{col 60}-.082106{col 73}-.017663
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04988{col 33} .02263{col 43}-2.2045{col 52}0.027{col 60}-.094236{col 73}-.005533
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake170Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   128060{col 34}    26483{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24086{col 34}    11028{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.126{col 34}    2.126
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.126{col 34}    2.126
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    69289{col 34}    18586
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03402{col 33} .01663{col 43}2.0459{col 52}0.041{col 60}  .00143{col 73} .066608
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01016{col 33} .01663{col 43}-0.6113{col 52}0.541{col 60}-.042754{col 73} .022425
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01016{col 33} .02296{col 43}-0.4428{col 52}0.658{col 60}-.055156{col 73} .034827
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake180Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 1.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   128807{col 34}    25736{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    24096{col 34}    10765{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.182{col 34}    2.182
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.182{col 34}    2.182
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    69778{col 34}    18097
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02884{col 33} .01721{col 43}1.6752{col 52}0.094{col 60}-.004901{col 73} .062576
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01518{col 33} .01721{col 43}-0.8821{col 52}0.378{col 60}-.048923{col 73} .018554
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01518{col 33}  .0232{col 43}-0.6545{col 52}0.513{col 60}-.060657{col 73} .030288
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake190Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   129465{col 34}    25078{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25616{col 34}    10893{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.334{col 34}    2.334
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.334{col 34}    2.334
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70198{col 34}    17677
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02999{col 33} .01719{col 43}1.7450{col 52}0.081{col 60}-.003694{col 73} .063681
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00132{col 33} .01719{col 43}-0.0768{col 52}0.939{col 60}-.035007{col 73} .032368
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00132{col 33} .02313{col 43}-0.0570{col 52}0.955{col 60}-.046663{col 73} .044024
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake200Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.1}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   130153{col 34}    24390{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    25109{col 34}    10553{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.360{col 34}    2.360
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.360{col 34}    2.360
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    70642{col 34}    17233
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01184{col 33}  .0174{col 43}0.6804{col 52}0.496{col 60}-.022269{col 73} .045952
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02194{col 33}  .0174{col 43}-1.2605{col 52}0.208{col 60}-.056047{col 73} .012174
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02194{col 33} .02333{col 43}-0.9403{col 52}0.347{col 60}-.067661{col 73} .023787
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake210Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.2}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   130872{col 34}    23671{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27551{col 34}    10645{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.564{col 34}    2.564
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.564{col 34}    2.564
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71099{col 34}    16776
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02144{col 33} .01626{col 43}1.3188{col 52}0.187{col 60}-.010426{col 73} .053315
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01015{col 33} .01626{col 43}-0.6245{col 52}0.532{col 60}-.042025{col 73} .021716
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01015{col 33} .02264{col 43}-0.4486{col 52}0.654{col 60}-.054524{col 73} .034215
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake220Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   131498{col 34}    23045{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28835{col 34}    10602{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.700{col 34}    2.700
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.700{col 34}    2.700
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71492{col 34}    16383
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02218{col 33} .01622{col 43}1.3668{col 52}0.172{col 60}-.009623{col 73} .053973
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02373{col 33} .01622{col 43}-1.4625{col 52}0.144{col 60}-.055526{col 73}  .00807
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02373{col 33} .02221{col 43}-1.0685{col 52}0.285{col 60}-.067253{col 73} .019798
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake230Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.4}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   132091{col 34}    22452{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    32889{col 34}    10884{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.971{col 34}    2.971
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.971{col 34}    2.971
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    71882{col 34}    15993
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02038{col 33} .01622{col 43}1.2564{col 52}0.209{col 60}-.011414{col 73} .052181
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}  -.018{col 33} .01622{col 43}-1.1093{col 52}0.267{col 60}-.049794{col 73} .013801
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}  -.018{col 33}  .0212{col 43}-0.8489{col 52}0.396{col 60}-.059547{col 73} .023554
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake240Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.5}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   132658{col 34}    21885{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    34582{col 34}    10827{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.123{col 34}    3.123
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.123{col 34}    3.123
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72239{col 34}    15636
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0242{col 33} .01637{col 43}1.4783{col 52}0.139{col 60}-.007886{col 73} .056294
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02068{col 33} .01637{col 43}-1.2630{col 52}0.207{col 60}-.052769{col 73} .011411
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02068{col 33} .02155{col 43}-0.9597{col 52}0.337{col 60} -.06291{col 73} .021552
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake250Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.6}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   133240{col 34}    21303{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    40540{col 34}    11054{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.444{col 34}    3.444
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.444{col 34}    3.444
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72598{col 34}    15277
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01064{col 33} .01627{col 43}0.6540{col 52}0.513{col 60}-.021243{col 73} .042518
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03141{col 33} .01627{col 43}-1.9310{col 52}0.053{col 60}-.063289{col 73} .000471
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03141{col 33} .02095{col 43}-1.4994{col 52}0.134{col 60}-.072466{col 73} .009648
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake260Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.7}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   133787{col 34}    20756{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    44426{col 34}    11069{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.669{col 34}    3.669
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.669{col 34}    3.669
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    72967{col 34}    14908
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00511{col 33} .01572{col 43}0.3249{col 52}0.745{col 60}-.025709{col 73} .035928
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01267{col 33} .01572{col 43}-0.8061{col 52}0.420{col 60}-.043493{col 73} .018144
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01267{col 33}  .0205{col 43}-0.6183{col 52}0.536{col 60}-.052851{col 73} .027502
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake270Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.8}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   134324{col 34}    20219{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    38346{col 34}    10439{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.515{col 34}    3.515
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.515{col 34}    3.515
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73307{col 34}    14568
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03853{col 33} .01622{col 43}2.3749{col 52}0.018{col 60} .006732{col 73} .070327
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01332{col 33} .01622{col 43}-0.8212{col 52}0.412{col 60}-.045119{col 73} .018476
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01332{col 33} .02109{col 43}-0.6317{col 52}0.528{col 60}-.054657{col 73} .028013
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake280Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 2.9}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   134826{col 34}    19717{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    35157{col 34}     9988{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.448{col 34}    3.448
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.448{col 34}    3.448
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73627{col 34}    14248
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03445{col 33} .01687{col 43}2.0423{col 52}0.041{col 60} .001389{col 73} .067513
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.04134{col 33} .01687{col 43}-2.4506{col 52}0.014{col 60}-.074401{col 73}-.008276
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.04134{col 33} .02233{col 43}-1.8510{col 52}0.064{col 60}-.085111{col 73} .002433
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake290Finland.dta{rm}
saved
{p_end}
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 3}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154543
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   135335{col 34}    19208{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    28042{col 34}     9103{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.119{col 34}    3.119
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.119{col 34}    3.119
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    73943{col 34}    13932
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: electednextelection. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02156{col 33} .01866{col 43}1.1558{col 52}0.248{col 60}-.015003{col 73} .058129
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.00279{col 33} .01866{col 43}-0.1496{col 52}0.881{col 60}-.039358{col 73} .033775
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.00279{col 33} .02412{col 43}-0.1157{col 52}0.908{col 60} -.05007{col 73} .044487
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
{res}{txt}{p 0 4 2}
file {bf}
fake300Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-300Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-290Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-280Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-270Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-260Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-250Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-240Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-230Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-220Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-210Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-200Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-190Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-180Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-170Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-160Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-150Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-140Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-130Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-120Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-110Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-100Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-90Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-80Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-70Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-60Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-50Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-40Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-30Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-20Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake-10Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake0Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake10Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake20Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake30Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake40Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake50Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake60Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake70Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake80Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake90Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake100Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake110Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake120Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake130Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake140Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake150Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake160Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake170Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake180Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake190Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake200Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake210Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake220Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake230Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake240Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake250Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake260Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake270Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake280Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake290Finland.dta{rm}
saved
{p_end}
{p 0 4 2}
file {bf}
fake300Finland.dta{rm}
saved
{p_end}

{com}. 
. preserve        
{txt}
{com}.         
. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}.         
. levelsof country, local(election)
{res}{txt}`"Brazil"' `"Colombia"' `"Denmark"' `"Finland"'

{com}.         foreach x of local election {c -(}
{txt}  2{com}.                 use "fake-300`x'.dta", clear
{txt}  3{com}.                 forvalues i=-290(10)300 {c -(}
{txt}  4{com}.                 append using fake`i'`x'.dta
{txt}  5{com}.                 {c )-}       
{txt}  6{com}. 
. duplicates drop cutoff parm, force
{txt}  7{com}. 
. twoway (rline min95 max95 cutoff if parm=="Conventional", plotregion(lcolor(black)) ylabel(,format(%9.2f)) lpattern(dash) lcolor(gray) xlabel(-3(1)3, format(%9.0f)) subtitle("Conventional, p = 2, CER", position(11)) legend(off) xtitle("Cutoff") ytitle(Estimated effect)  graphregion(color(white))  xline(0, lcolor(cranberry)) yline(0, lcolor(black) lwidth(vthin))) (scatter estimate cutoff if parm=="Conventional", connect(direct) lcolor(black) msymbol(none))
{txt}  8{com}. graph save "$dir/temp/fakecutoff1_`x'2b.gph", replace
{txt}  9{com}. twoway (rline min95 max95 cutoff if parm=="Robust", plotregion(lcolor(black)) ylabel(,format(%9.2f)) lpattern(dash) lcolor(gray) xlabel(-3(1)3, format(%9.0f)) subtitle("Robust, p = 2, CER", position(11)) legend(off) xtitle("Cutoff") ytitle(Estimated effect)  graphregion(color(white))  xline(0, lcolor(cranberry)) yline(0, lcolor(black) lwidth(vthin))) (scatter estimate cutoff if parm=="Robust", connect(direct) lcolor(black) msymbol(none))
{txt} 10{com}. graph save "$dir/temp/fakecutoff2_`x'2b.gph", replace
{txt} 11{com}.         {c )-}

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Brazil2b.gph} saved
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Brazil2b.gph} saved

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Colombia2b.gph} saved
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Colombia2b.gph} saved

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Denmark2b.gph} saved
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Denmark2b.gph} saved

{p 0 4}{txt}Duplicates in terms of {res} cutoff parm{p_end}

{txt}(0 observations are duplicates)
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff1_Finland2b.gph} saved
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/fakecutoff2_Finland2b.gph} saved

{com}. restore
{txt}
{com}. 
. // Combine the graphs
. 
. graph combine "$dir/temp/fakecutoff1_Brazil1a.gph" "$dir/temp/fakecutoff1_Brazil1b.gph" ///
>         "$dir/temp/fakecutoff1_Brazil2a.gph" "$dir/temp/fakecutoff1_Brazil2b.gph" ///
>         "$dir/temp/fakecutoff2_Brazil1a.gph" "$dir/temp/fakecutoff2_Brazil1b.gph" ///
>         "$dir/temp/fakecutoff2_Brazil2a.gph" "$dir/temp/fakecutoff2_Brazil2b.gph", ///
>         subtitle("Panel A: Brazil", position(11)) graphregion(color(white)) cols(4) xsize(16) ysize(9)
{res}{txt}
{com}. graph export "$dir/figures/figure_OA6A.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
/Users/jaakko/Documents/PA_replication_package/figures/figure_OA6A.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. graph combine "$dir/temp/fakecutoff1_Colombia1a.gph" "$dir/temp/fakecutoff1_Colombia1b.gph" ///
>         "$dir/temp/fakecutoff1_Colombia2a.gph" "$dir/temp/fakecutoff1_Colombia2b.gph" ///
>         "$dir/temp/fakecutoff2_Colombia1a.gph" "$dir/temp/fakecutoff2_Colombia1b.gph" ///
>         "$dir/temp/fakecutoff2_Colombia2a.gph" "$dir/temp/fakecutoff2_Colombia2b.gph", ///
>         subtitle("Panel B: Colombia", position(11)) graphregion(color(white)) cols(4) xsize(16) ysize(9)
{res}{txt}
{com}. graph export "$dir/figures/figure_OA6B.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
/Users/jaakko/Documents/PA_replication_package/figures/figure_OA6B.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. graph combine "$dir/temp/fakecutoff1_Denmark1a.gph" "$dir/temp/fakecutoff1_Denmark1b.gph" ///
>         "$dir/temp/fakecutoff1_Denmark2a.gph" "$dir/temp/fakecutoff1_Denmark2b.gph" ///
>         "$dir/temp/fakecutoff2_Denmark1a.gph" "$dir/temp/fakecutoff2_Denmark1b.gph" ///
>         "$dir/temp/fakecutoff2_Denmark2a.gph" "$dir/temp/fakecutoff2_Denmark2b.gph", ///
>         subtitle("Panel C: Denmark", position(11)) graphregion(color(white)) cols(4) xsize(16) ysize(9)
{res}{txt}
{com}. graph export "$dir/figures/figure_OA6C.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
/Users/jaakko/Documents/PA_replication_package/figures/figure_OA6C.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. graph combine "$dir/temp/fakecutoff1_Finland1a.gph" "$dir/temp/fakecutoff1_Finland1b.gph" ///
>         "$dir/temp/fakecutoff1_Finland2a.gph" "$dir/temp/fakecutoff1_Finland2b.gph" ///
>         "$dir/temp/fakecutoff2_Finland1a.gph" "$dir/temp/fakecutoff2_Finland1b.gph" ///
>         "$dir/temp/fakecutoff2_Finland2a.gph" "$dir/temp/fakecutoff2_Finland2b.gph", ///
>         subtitle("Panel D: Finland", position(11)) graphregion(color(white)) cols(4) xsize(16) ysize(9)
{res}{txt}
{com}. graph export "$dir/figures/figure_OA6D.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
/Users/jaakko/Documents/PA_replication_package/figures/figure_OA6D.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. est clear
{txt}
{com}. 
{txt}end of do-file

{com}. 
. do "$dir/code/Table_OA13.do" // Table OA13
{txt}
{com}. clear all
{res}{txt}
{com}. 
. ********************************************************************************
. ********************************************************************************
. **** When Can We Trust Regression Discontinuity Design Estimates from Close ****
. *************** Elections? Evidence from Experimental Benchmarks ***************
. ********************************************************************************
. ********************************************************************************
. 
. * This file produces Table OA13 in Online Appendix D of De Magalhaes et al. 
. * (Political Analysis).
. 
. cd "$dir"
{res}/Users/jaakko/Documents/PA_replication_package
{txt}
{com}. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. ********************************************************************************
. 
. la var elected "Elected"
{txt}
{com}. gen within_party = 100 * votes/partyvotes
{txt}
{com}. 
. ********************************************************************************
. 
. est clear 
{txt}
{com}. 
. foreach x of varlist votes within_party voteshare female incumbent {c -(}
{txt}  2{com}.         eststo: reg `x' elected if rv == 0 & country == "Colombia", cluster(constituency)
{txt}  3{com}. {c )-}

{txt}Linear regression                               Number of obs     = {res}       463
                                                {txt}F(1, 204)         =  {res}     6.42
                                                {txt}Prob > F          = {res}    0.0120
                                                {txt}R-squared         = {res}    0.0001
                                                {txt}Root MSE          =    {res} 129.55

{txt}{ralign 78:(Std. err. adjusted for {res:205} clusters in {res:constituency})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       votes{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}elected {c |}{col 14}{res}{space 2}  2.44702{col 26}{space 2} .9654386{col 37}{space 1}    2.53{col 46}{space 3}0.012{col 54}{space 4} .5435022{col 67}{space 3} 4.350537
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 145.2735{col 26}{space 2} 9.821639{col 37}{space 1}   14.79{col 46}{space 3}0.000{col 54}{space 4} 125.9086{col 67}{space 3} 164.6384
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

Linear regression                               Number of obs     = {res}       463
                                                {txt}F(1, 204)         =  {res}     0.89
                                                {txt}Prob > F          = {res}    0.3456
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} 5.7653

{txt}{ralign 78:(Std. err. adjusted for {res:205} clusters in {res:constituency})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}within_party{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}elected {c |}{col 14}{res}{space 2}-.0258134{col 26}{space 2}  .027303{col 37}{space 1}   -0.95{col 46}{space 3}0.346{col 54}{space 4}-.0796456{col 67}{space 3} .0280188
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 13.90343{col 26}{space 2} .3737333{col 37}{space 1}   37.20{col 46}{space 3}0.000{col 54}{space 4} 13.16655{col 67}{space 3}  14.6403
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est2{txt} stored)

Linear regression                               Number of obs     = {res}       463
                                                {txt}F(1, 204)         =  {res}     1.02
                                                {txt}Prob > F          = {res}    0.3131
                                                {txt}R-squared         = {res}    0.0001
                                                {txt}Root MSE          =    {res} 1.5304

{txt}{ralign 78:(Std. err. adjusted for {res:205} clusters in {res:constituency})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   voteshare{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}elected {c |}{col 14}{res}{space 2}-.0331351{col 26}{space 2} .0327678{col 37}{space 1}   -1.01{col 46}{space 3}0.313{col 54}{space 4}-.0977421{col 67}{space 3} .0314719
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.207596{col 26}{space 2} .1155337{col 37}{space 1}   27.76{col 46}{space 3}0.000{col 54}{space 4} 2.979803{col 67}{space 3}  3.43539
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

Linear regression                               Number of obs     = {res}       463
                                                {txt}F(1, 204)         =  {res}     0.06
                                                {txt}Prob > F          = {res}    0.8129
                                                {txt}R-squared         = {res}    0.0001
                                                {txt}Root MSE          =    {res} .39822

{txt}{ralign 78:(Std. err. adjusted for {res:205} clusters in {res:constituency})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      female{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}elected {c |}{col 14}{res}{space 2} -.008715{col 26}{space 2} .0367639{col 37}{space 1}   -0.24{col 46}{space 3}0.813{col 54}{space 4}-.0812009{col 67}{space 3}  .063771
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2008547{col 26}{space 2} .0268349{col 37}{space 1}    7.48{col 46}{space 3}0.000{col 54}{space 4} .1479455{col 67}{space 3} .2537639
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

Linear regression                               Number of obs     = {res}       365
                                                {txt}F(1, 167)         =  {res}     2.17
                                                {txt}Prob > F          = {res}    0.1428
                                                {txt}R-squared         = {res}    0.0063
                                                {txt}Root MSE          =    {res} .37536

{txt}{ralign 78:(Std. err. adjusted for {res:168} clusters in {res:constituency})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   incumbent{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}elected {c |}{col 14}{res}{space 2} .0594595{col 26}{space 2} .0403842{col 37}{space 1}    1.47{col 46}{space 3}0.143{col 54}{space 4}-.0202699{col 67}{space 3} .1391889
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1405405{col 26}{space 2} .0254483{col 37}{space 1}    5.52{col 46}{space 3}0.000{col 54}{space 4} .0902987{col 67}{space 3} .1907824
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est5{txt} stored)

{com}. 
. esttab est* using "$dir/tables/table_OA13.tex", booktabs ///
> keep(elected) ///
>         mgroups("Votes" "Within-party vote share" "Within-municipality vote share" "Female" "Incumbent",  pattern(1 1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}) ) nomtitles ///
> replace  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N, fmt(0)  layout(@) ///
> labels("\textit{c -(}N{c )-}" )) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead(\begin{c -(}tabular{c )-}{c -(}l*{c -(}6{c )-}{c -(}c{c )-}{c )-} \toprule) ///
> postfoot("") refcat(Conventional "\textbf{c -(}Panel A:{c )-} Colombia", nolabel)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/tables/table_OA13.tex{rm}
not found)
{p_end}
(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA13.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. foreach x of varlist votes within_party voteshare female incumbent {c -(}
{txt}  2{com}.         eststo: reg `x' elected if rv == 0 & country == "Finland", cluster(constituency)
{txt}  3{com}. {c )-}

{txt}Linear regression                               Number of obs     = {res}     1,351
                                                {txt}F(1, 326)         =  {res}     2.17
                                                {txt}Prob > F          = {res}    0.1415
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} 38.547

{txt}{ralign 78:(Std. err. adjusted for {res:327} clusters in {res:constituency})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       votes{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}elected {c |}{col 14}{res}{space 2}  .452562{col 26}{space 2} .3071018{col 37}{space 1}    1.47{col 46}{space 3}0.142{col 54}{space 4}-.1515894{col 67}{space 3} 1.056713
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 40.96324{col 26}{space 2} 1.859973{col 37}{space 1}   22.02{col 46}{space 3}0.000{col 54}{space 4} 37.30417{col 67}{space 3}  44.6223
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

Linear regression                               Number of obs     = {res}     1,351
                                                {txt}F(1, 326)         =  {res}     0.00
                                                {txt}Prob > F          = {res}    0.9519
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} 6.3222

{txt}{ralign 78:(Std. err. adjusted for {res:327} clusters in {res:constituency})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}within_party{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}elected {c |}{col 14}{res}{space 2}-.0029207{col 26}{space 2} .0484223{col 37}{space 1}   -0.06{col 46}{space 3}0.952{col 54}{space 4}-.0981804{col 67}{space 3}  .092339
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 6.491984{col 26}{space 2} .2475564{col 37}{space 1}   26.22{col 46}{space 3}0.000{col 54}{space 4} 6.004975{col 67}{space 3} 6.978994
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est2{txt} stored)

Linear regression                               Number of obs     = {res}     1,351
                                                {txt}F(1, 326)         =  {res}     0.48
                                                {txt}Prob > F          = {res}    0.4870
                                                {txt}R-squared         = {res}    0.0002
                                                {txt}Root MSE          =    {res} 24.332

{txt}{ralign 78:(Std. err. adjusted for {res:327} clusters in {res:constituency})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   voteshare{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}elected {c |}{col 14}{res}{space 2}-.7686937{col 26}{space 2} 1.104551{col 37}{space 1}   -0.70{col 46}{space 3}0.487{col 54}{space 4}-2.941642{col 67}{space 3} 1.404254
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 20.04213{col 26}{space 2} 1.085228{col 37}{space 1}   18.47{col 46}{space 3}0.000{col 54}{space 4}  17.9072{col 67}{space 3} 22.17707
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

Linear regression                               Number of obs     = {res}     1,351
                                                {txt}F(1, 326)         =  {res}     0.06
                                                {txt}Prob > F          = {res}    0.8075
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} .48744

{txt}{ralign 78:(Std. err. adjusted for {res:327} clusters in {res:constituency})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      female{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}elected {c |}{col 14}{res}{space 2} .0066385{col 26}{space 2} .0272306{col 37}{space 1}    0.24{col 46}{space 3}0.808{col 54}{space 4}-.0469314{col 67}{space 3} .0602084
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .3838235{col 26}{space 2} .0184717{col 37}{space 1}   20.78{col 46}{space 3}0.000{col 54}{space 4} .3474847{col 67}{space 3} .4201623
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

Linear regression                               Number of obs     = {res}     1,351
                                                {txt}F(1, 326)         =  {res}     0.91
                                                {txt}Prob > F          = {res}    0.3414
                                                {txt}R-squared         = {res}    0.0007
                                                {txt}Root MSE          =    {res} .45963

{txt}{ralign 78:(Std. err. adjusted for {res:327} clusters in {res:constituency})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   incumbent{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}elected {c |}{col 14}{res}{space 2}-.0240949{col 26}{space 2} .0252873{col 37}{space 1}   -0.95{col 46}{space 3}0.341{col 54}{space 4}-.0738416{col 67}{space 3} .0256519
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .3147059{col 26}{space 2} .0175376{col 37}{space 1}   17.94{col 46}{space 3}0.000{col 54}{space 4} .2802047{col 67}{space 3}  .349207
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est5{txt} stored)

{com}. 
. esttab est* using "$dir/tables/table_OA13.tex", booktabs ///
> keep(elected) nomtitles nonumbers ///
> append  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N, fmt(0)  layout(@) ///
> labels("\textit{c -(}N{c )-}" )) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead("") ///
> postfoot(\bottomrule \end{c -(}tabular{c )-})     refcat(Conventional "\textbf{c -(}Panel B:{c )-} Finland", nolabel)
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA13.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
{txt}end of do-file

{com}. 
. do "$dir/code/Table_OA14.do" // Table OA14
{txt}
{com}. clear all
{res}{txt}
{com}. 
. ********************************************************************************
. ********************************************************************************
. **** When Can We Trust Regression Discontinuity Design Estimates from Close ****
. *************** Elections? Evidence from Experimental Benchmarks ***************
. ********************************************************************************
. ********************************************************************************
. 
. * This file produces Table OA14 in Online Appendix D of De Magalhaes et al. 
. * (Political Analysis).
. 
. cd "$dir"
{res}/Users/jaakko/Documents/PA_replication_package
{txt}
{com}. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. ********************************************************************************
. 
. est clear
{txt}
{com}. 
. eststo: rdrobust incumbent rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    276478
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   225033{col 34}    51445{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20533{col 34}    16877{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.178{col 34}    2.178
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.178{col 34}    2.178
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   176829{col 34}    43796
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5286{col 34}     5287

Outcome: incumbent. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02371{col 33} .01032{col 43}-2.2979{col 52}0.022{col 60} -.04394{col 73}-.003487
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01887{col 33} .01032{col 43}-1.8284{col 52}0.067{col 60}-.039096{col 73} .001358
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01887{col 33} .01608{col 43}-1.1733{col 52}0.241{col 60}-.050389{col 73} .012651
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:37410}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}2.1778237
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust incumbent rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    276478
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   225033{col 34}    51445{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    72698{col 34}    37291{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.517{col 34}    6.517
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.517{col 34}    6.517
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   176829{col 34}    43796
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5551{col 34}     5551

Outcome: incumbent. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02759{col 33} .00913{col 43}-3.0223{col 52}0.003{col 60}-.045489{col 73}-.009699
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02567{col 33} .00913{col 43}-2.8120{col 52}0.005{col 60}-.043569{col 73}-.007779
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02567{col 33}  .0121{col 43}-2.1212{col 52}0.034{col 60}-.049397{col 73}-.001952
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:109989}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}6.5170594
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust incumbent rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    276478
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   225033{col 34}    51445{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    12270{col 34}    10939{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.367{col 34}    1.367
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.367{col 34}    1.367
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   176829{col 34}    43796
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     4780{col 34}     4784

Outcome: incumbent. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.01508{col 33} .01326{col 43}-1.1379{col 52}0.255{col 60}-.041065{col 73} .010898
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.03407{col 33} .01326{col 43}-2.5700{col 52}0.010{col 60}-.060049{col 73}-.008087
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.03407{col 33} .02105{col 43}-1.6185{col 52}0.106{col 60}-.075322{col 73} .007186
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:23209}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}1.3669132
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust incumbent rv if rv!=0 & rv!=. & country=="Brazil", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    276478
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   225033{col 34}    51445{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    38667{col 34}    26619{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.827{col 34}    3.827
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.827{col 34}    3.827
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}   176829{col 34}    43796
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     5521{col 34}     5519

Outcome: incumbent. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02165{col 33} .01183{col 43}-1.8299{col 52}0.067{col 60}-.044831{col 73} .001539
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02186{col 33} .01183{col 43}-1.8478{col 52}0.065{col 60}-.045043{col 73} .001327
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02186{col 33} .01608{col 43}-1.3591{col 52}0.174{col 60} -.05338{col 73} .009664
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:65286}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}3.8271236
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/table_OA14.tex", booktabs ///
> keep(Conventional Robust) nomtitles ///
> replace  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Bandwidth")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead(\begin{c -(}tabular{c )-}{c -(}l*{c -(}5{c )-}{c -(}c{c )-}{c )-} \toprule) ///
> postfoot("") refcat(Conventional "\textbf{c -(}Panel A:{c )-} Brazil", nolabel)
{res}{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/tables/table_OA14.tex{rm}
not found)
{p_end}
(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA14.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust incumbent rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    110449
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    87648{col 34}    22801{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    17619{col 34}    11599{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.929{col 34}    3.929
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.929{col 34}    3.929
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67527{col 34}    19689
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1097{col 34}     1096

Outcome: incumbent. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01107{col 33} .01034{col 43}1.0708{col 52}0.284{col 60}-.009195{col 73} .031343
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00207{col 33} .01034{col 43}0.2004{col 52}0.841{col 60}-.018197{col 73} .022341
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00207{col 33} .01504{col 43}0.1378{col 52}0.890{col 60}-.027403{col 73} .031547
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:29218}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}3.9294486
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust incumbent rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    110449
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    87648{col 34}    22801{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    42607{col 34}    18509{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    9.058{col 34}    9.058
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    9.058{col 34}    9.058
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67527{col 34}    19689
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1099

Outcome: incumbent. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00215{col 33} .01047{col 43}-0.2057{col 52}0.837{col 60}-.022681{col 73} .018371
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00288{col 33} .01047{col 43}0.2749{col 52}0.783{col 60}-.017647{col 73} .023405
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00288{col 33} .01352{col 43}0.2130{col 52}0.831{col 60}-.023615{col 73} .029373
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:61116}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}9.0581764
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust incumbent rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    110449
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    87648{col 34}    22801{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    11470{col 34}     8581{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.674{col 34}    2.674
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.674{col 34}    2.674
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67527{col 34}    19689
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1094{col 34}     1093

Outcome: incumbent. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01406{col 33}  .0123{col 43}1.1436{col 52}0.253{col 60} -.01004{col 73} .038167
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.02411{col 33}  .0123{col 43}-1.9605{col 52}0.050{col 60}-.048213{col 73}-7.0e-06
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.02411{col 33} .01866{col 43}-1.2920{col 52}0.196{col 60}-.060685{col 73} .012465
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:20051}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}2.6743022
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust incumbent rv if rv!=0 & rv!=. & country=="Colombia", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    110449
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}    87648{col 34}    22801{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    27080{col 34}    14952{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    5.835{col 34}    5.835
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    5.835{col 34}    5.835
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    67527{col 34}    19689
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}     1100{col 34}     1099

Outcome: incumbent. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.00061{col 33} .01266{col 43}-0.0480{col 52}0.962{col 60}-.025416{col 73} .024201
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00653{col 33} .01266{col 43}0.5160{col 52}0.606{col 60}-.018277{col 73}  .03134
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00653{col 33} .01687{col 43}0.3871{col 52}0.699{col 60}-.026541{col 73} .039604
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:42032}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}5.8350582
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/table_OA14.tex", booktabs ///
> keep(Conventional Robust) nomtitles nonumbers ///
> append  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Bandwidth")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead("") ///
> postfoot("")    refcat(elected "\textbf{c -(}Panel B:{c )-} Colombia", nolabel)
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA14.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust incumbent rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      2071
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     1092{col 34}      979{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      558{col 34}      492{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    3.235{col 34}    3.235
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    3.235{col 34}    3.235
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       82{col 34}       81

Outcome: incumbent. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .14745{col 33} .04828{col 43}3.0541{col 52}0.002{col 60} .052825{col 73} .242078
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.09503{col 33} .04828{col 43}-1.9683{col 52}0.049{col 60}-.189658{col 73}-.000404
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.09503{col 33} .07467{col 43}-1.2726{col 52}0.203{col 60}-.241391{col 73} .051329
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est1{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:1050}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}3.2346652
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust incumbent rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      2071
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     1092{col 34}      979{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      705{col 34}      630{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    6.714{col 34}    6.714
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    6.714{col 34}    6.714
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       89{col 34}       85

Outcome: incumbent. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .11217{col 33} .05492{col 43}2.0426{col 52}0.041{col 60} .004541{col 73} .219804
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.07133{col 33} .05492{col 43}-1.2989{col 52}0.194{col 60} -.17896{col 73} .036303
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.07133{col 33} .07066{col 43}-1.0095{col 52}0.313{col 60}-.209816{col 73} .067159
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est2{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:1335}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}6.714344
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust incumbent rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      2071
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     1092{col 34}      979{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      497{col 34}      438{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.494{col 34}    2.494
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.494{col 34}    2.494
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       81{col 34}       79

Outcome: incumbent. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .07076{col 33} .05393{col 43}1.3121{col 52}0.189{col 60}-.034941{col 73} .176469
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.14207{col 33} .05393{col 43}-2.6343{col 52}0.008{col 60}-.247779{col 73}-.036368
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.14207{col 33} .08435{col 43}-1.6844{col 52}0.092{col 60}-.307389{col 73} .023242
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est3{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:935}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}2.4942811
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust incumbent rv if rv!=0 & rv!=. & country=="Denmark", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      2071
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     1092{col 34}      979{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      639{col 34}      588{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.989{col 34}    4.989
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    4.989{col 34}    4.989
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       88{col 34}       84

Outcome: incumbent. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .02784{col 33} .05958{col 43}0.4673{col 52}0.640{col 60}-.088926{col 73} .144608
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.16091{col 33} .05958{col 43}-2.7009{col 52}0.007{col 60}-.277673{col 73}-.044139
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.16091{col 33} .08171{col 43}-1.9693{col 52}0.049{col 60}-.321048{col 73}-.000764
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
({res}est4{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:1227}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}4.9887689
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/table_OA14.tex", booktabs ///
> keep(Conventional Robust) nomtitles nonumbers ///
> append  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Bandwidth")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead("") ///
> postfoot("")    refcat(Conventional "\textbf{c -(}Panel C:{c )-} Denmark", nolabel)
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA14.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
. eststo: rdrobust incumbent rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154799
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108756{col 34}    46043{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    16342{col 34}    10626{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.862{col 34}    0.862
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.862{col 34}    0.862
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    57024{col 34}    30992
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      443{col 34}      443

Outcome: incumbent. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .01433{col 33} .01349{col 43}1.0626{col 52}0.288{col 60}-.012104{col 73} .040769
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00951{col 33} .01349{col 43}0.7050{col 52}0.481{col 60}-.016927{col 73} .035945
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00951{col 33} .02186{col 43}0.4350{col 52}0.664{col 60}-.033334{col 73} .052351
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est1{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:26968}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}.86220667
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust incumbent rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(mserd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154799
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108756{col 34}    46043{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    64122{col 34}    26006{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    2.842{col 34}    2.842
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    2.842{col 34}    2.842
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    57024{col 34}    30992
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: incumbent. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .03762{col 33} .01291{col 43}2.9153{col 52}0.004{col 60} .012329{col 73} .062918
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.01248{col 33} .01291{col 43}-0.9672{col 52}0.333{col 60}-.037776{col 73} .012813
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.01248{col 33} .01465{col 43}-0.8519{col 52}0.394{col 60}-.041198{col 73} .016234
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est2{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:90128}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}2.8423685
{txt}
{com}. estadd local bandwidth "MSE"

{txt}added macro:
          e(bandwidth) : "{res:MSE}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. eststo: rdrobust incumbent rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(1) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154799
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108756{col 34}    46043{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    10334{col 34}     7682{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.614{col 34}    0.614
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    0.614{col 34}    0.614
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    57024{col 34}    30992
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      435{col 34}      436

Outcome: incumbent. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  .0115{col 33} .01636{col 43}0.7033{col 52}0.482{col 60}-.020554{col 73}  .04356
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} .00868{col 33} .01636{col 43}0.5306{col 52}0.596{col 60}-.023379{col 73} .040735
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} .00868{col 33} .02689{col 43}0.3227{col 52}0.747{col 60}-.044022{col 73} .061378
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est3{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:18016}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}.61396255
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Linear"

{txt}added macro:
         e(polynomial) : "{res:Linear}"

{com}. eststo: rdrobust incumbent rv if rv!=0 & rv!=. & country=="Finland", c(0) rho(1) p(2) all vce(cluster constituency) kernel(uniform) bwselect(cerrd)
{res}{err}Mass points detected in the running variable.
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}    154799
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:cerrd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108756{col 34}    46043{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    47078{col 34}    20445{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.928{col 34}    1.928
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.928{col 34}    1.928
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000
{txt}{ralign 18:Unique obs}{col 19} {c |} {col 21}{res}    57024{col 34}    30992
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}      445{col 34}      445

Outcome: incumbent. Running variable: rv.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} .00422{col 33} .01334{col 43}0.3163{col 52}0.752{col 60}-.021924{col 73} .030361
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0093{col 33} .01334{col 43}-0.6969{col 52}0.486{col 60}-.035438{col 73} .016847
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0093{col 33} .01932{col 43}-0.4812{col 52}0.630{col 60}-.047159{col 73} .028568
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in constituency
Estimates adjusted for mass points in the running variable.
({res}est4{txt} stored)

{com}. scalar bw =  e(h_l)
{txt}
{com}. estadd local N_obs = e(N_h_l) + e(N_h_r)

{txt}added macro:
              e(N_obs) : "{res:67523}"

{com}. estadd scalar bw

{txt}added scalar:
                 e(bw) =  {res}1.9281633
{txt}
{com}. estadd local bandwidth "CER"

{txt}added macro:
          e(bandwidth) : "{res:CER}"

{com}. estadd local polynomial "Quadratic"

{txt}added macro:
         e(polynomial) : "{res:Quadratic}"

{com}. 
. esttab est* using "$dir/tables/table_OA14.tex", booktabs ///
> keep(Conventional Robust) nomtitles nonumbers ///
> append  nonotes ///
> ci(%9.3f) b(%9.3f) stats(N_obs h_l bandwidth polynomial, fmt(0 2)  layout(@) ///
> labels("\textit{c -(}N{c )-}" "Bandwidth" "Bandwidth selector" "Polynomial")) collabels(none) ///
> label nostar    eqlabels(none) ///
> prehead("") ///
> postfoot(\bottomrule \end{c -(}tabular{c )-})     refcat(elected "\textbf{c -(}Panel D:{c )-} Finland", nolabel)
{res}{txt}(output written to {browse  `"/Users/jaakko/Documents/PA_replication_package/tables/table_OA14.tex"'})

{com}. 
. est clear
{res}{txt}
{com}. 
{txt}end of do-file

{com}. 
. do "$dir/code/Figure_OA7.do" // Figure OA7
{txt}
{com}. clear all
{res}{txt}
{com}. 
. ********************************************************************************
. ********************************************************************************
. **** When Can We Trust Regression Discontinuity Design Estimates from Close ****
. *************** Elections? Evidence from Experimental Benchmarks ***************
. ********************************************************************************
. ********************************************************************************
. 
. * This file produces Figure OA7 in Online Appendix D of De Magalhaes et al. 
. * (Political Analysis).
. 
. cd "$dir"
{res}/Users/jaakko/Documents/PA_replication_package
{txt}
{com}. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. ********************************************************************************
. 
. preserve
{txt}
{com}. DCdensity rv if country=="Brazil" & rv!=0 & abs(rv)<=1, generate(Xj Yj r0 fhat se_fhat) breakpoint(0)
{res}Using default bin size calculation, bin size = .005972482
Using default bandwidth calculation, bandwidth = .167856196

Discontinuity estimate (log difference in height): .017792861
                                                   (.098270244)
Performing LLR smoothing.
336 iterations will be performed 
.................................
{txt}
{com}. local breakpoint 0
{txt}
{com}. local cellmpname Xj
{txt}
{com}. local cellvalname Yj
{txt}
{com}. local evalname r0
{txt}
{com}. local cellsmname fhat
{txt}
{com}. local cellsmsename se_fhat
{txt}
{com}. tempvar hi
{txt}
{com}. quietly gen `hi' = `cellsmname' + 1.96*`cellsmsename'
{txt}
{com}. tempvar lo
{txt}
{com}. quietly gen `lo' = `cellsmname' - 1.96*`cellsmsename'
{txt}
{com}. drop if `evalname' < -1 | `evalname' > 1
{txt}(914,484 observations deleted)

{com}. gr twoway  (line `cellsmname' `evalname' if `evalname' < `breakpoint', subtitle("Panel A: Brazil", position(11)) lcolor(black) lwidth(medthick)) ///  
> (line `hi' `evalname' if `evalname' < `breakpoint', lcolor(black) lwidth(vthin) lpattern(dash))              ///
> (line `lo' `evalname' if `evalname' < `breakpoint', lcolor(black) lwidth(vthin) lpattern(dash)),          ///
> name(lines, replace) legend(off) graphregion(color(white))
{res}{txt}
{com}. drop if `cellmpname' < -1 | `cellmpname' > 1
{txt}(29 observations deleted)

{com}. addplot lines: (scatter `cellvalname' `cellmpname', msymbol(circle) mcolor(gs8))             ///
> (line `cellsmname' `evalname' if `evalname' > `breakpoint', lpattern(solid) lcolor(black) lwidth(medthick))   ///
> (line `hi' `evalname' if `evalname' > `breakpoint', lcolor(black) lwidth(vthin) lpattern(dash))              ///
> (line `lo' `evalname' if `evalname' > `breakpoint', lcolor(black) lwidth(vthin) lpattern(dash))  ///
> (line `cellsmname' `evalname' if `evalname' < `breakpoint', lpattern(solid) lcolor(black) lwidth(medthick))  ///  
> (line `hi' `evalname' if `evalname' < `breakpoint', lcolor(black) lwidth(vthin) lpattern(dash))              ///
> (line `lo' `evalname' if `evalname' < `breakpoint', lcolor(black) lwidth(vthin) lpattern(dash)),           ///
> xline(`breakpoint', lcolor(black)) legend(off) ylabel(#4,format(%9.2f)) ytitle(Density) xtitle(Running variable) plotregion(lcolor(black)) ///
> xlabel(-1(0.5)1, format(%9.2f))
{res}{txt}
{com}. drop Xj Yj r0 fhat se_fhat
{txt}
{com}. graph save "$dir/temp/brazil_density.gph", replace
{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/brazil_density.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/brazil_density.gph} saved

{com}. restore
{txt}
{com}. 
. preserve
{txt}
{com}. DCdensity rv if country=="Colombia" & rv!=0 & abs(rv)<=1, generate(Xj Yj r0 fhat se_fhat) breakpoint(0)
{res}Using default bin size calculation, bin size = .011487563
Using default bandwidth calculation, bandwidth = .182360453

Discontinuity estimate (log difference in height): .081672233
                                                   (.300250179)
Performing LLR smoothing.
176 iterations will be performed 
.................
{txt}
{com}. local breakpoint 0
{txt}
{com}. local cellmpname Xj
{txt}
{com}. local cellvalname Yj
{txt}
{com}. local evalname r0
{txt}
{com}. local cellsmname fhat
{txt}
{com}. local cellsmsename se_fhat
{txt}
{com}. tempvar hi
{txt}
{com}. quietly gen `hi' = `cellsmname' + 1.96*`cellsmsename'
{txt}
{com}. tempvar lo
{txt}
{com}. quietly gen `lo' = `cellsmname' - 1.96*`cellsmsename'
{txt}
{com}. drop if `evalname' < -1 | `evalname' > 1
{txt}(914,644 observations deleted)

{com}. gr twoway  (line `cellsmname' `evalname' if `evalname' < `breakpoint', subtitle("Panel B: Colombia", position(11)) lcolor(black) lwidth(medthick)) ///  
> (line `hi' `evalname' if `evalname' < `breakpoint', lcolor(black) lwidth(vthin) lpattern(dash))              ///
> (line `lo' `evalname' if `evalname' < `breakpoint', lcolor(black) lwidth(vthin) lpattern(dash)),          ///
> name(lines, replace) legend(off) graphregion(color(white))
{res}{txt}
{com}. drop if `cellmpname' < -1 | `cellmpname' > 1
{txt}(16 observations deleted)

{com}. addplot lines: (scatter `cellvalname' `cellmpname', msymbol(circle) mcolor(gs8))             ///
> (line `cellsmname' `evalname' if `evalname' > `breakpoint', lpattern(solid) lcolor(black) lwidth(medthick))   ///
> (line `hi' `evalname' if `evalname' > `breakpoint', lcolor(black) lwidth(vthin) lpattern(dash))              ///
> (line `lo' `evalname' if `evalname' > `breakpoint', lcolor(black) lwidth(vthin) lpattern(dash))  ///
> (line `cellsmname' `evalname' if `evalname' < `breakpoint', lpattern(solid) lcolor(black) lwidth(medthick))  ///  
> (line `hi' `evalname' if `evalname' < `breakpoint', lcolor(black) lwidth(vthin) lpattern(dash))              ///
> (line `lo' `evalname' if `evalname' < `breakpoint', lcolor(black) lwidth(vthin) lpattern(dash)),           ///
> xline(`breakpoint', lcolor(black)) legend(off) ylabel(#4,format(%9.2f)) ytitle(Density) xtitle(Running variable) plotregion(lcolor(black)) ///
> xlabel(-1(0.5)1, format(%9.2f))
{res}{txt}
{com}. drop Xj Yj r0 fhat se_fhat
{txt}
{com}. graph save "$dir/temp/colombia_density.gph", replace
{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/colombia_density.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/colombia_density.gph} saved

{com}. restore
{txt}
{com}. 
. preserve
{txt}
{com}. DCdensity rv if country=="Denmark" & rv!=0 & abs(rv)<=1, generate(Xj Yj r0 fhat se_fhat) breakpoint(0)
{res}Using default bin size calculation, bin size = .019623695
Using default bandwidth calculation, bandwidth = .339158712

Discontinuity estimate (log difference in height): -.096476019
                                                   (.137826043)
Performing LLR smoothing.
103 iterations will be performed 
..........
{txt}
{com}. local breakpoint 0
{txt}
{com}. local cellmpname Xj
{txt}
{com}. local cellvalname Yj
{txt}
{com}. local evalname r0
{txt}
{com}. local cellsmname fhat
{txt}
{com}. local cellsmsename se_fhat
{txt}
{com}. tempvar hi
{txt}
{com}. quietly gen `hi' = `cellsmname' + 1.96*`cellsmsename'
{txt}
{com}. tempvar lo
{txt}
{com}. quietly gen `lo' = `cellsmname' - 1.96*`cellsmsename'
{txt}
{com}. drop if `evalname' < -1 | `evalname' > 1
{txt}(914,716 observations deleted)

{com}. gr twoway  (line `cellsmname' `evalname' if `evalname' < `breakpoint', subtitle("Panel C: Denmark", position(11)) lcolor(black) lwidth(medthick)) ///  
> (line `hi' `evalname' if `evalname' < `breakpoint', lcolor(black) lwidth(vthin) lpattern(dash))              ///
> (line `lo' `evalname' if `evalname' < `breakpoint', lcolor(black) lwidth(vthin) lpattern(dash)),          ///
> name(lines, replace) legend(off) graphregion(color(white))
{res}{txt}
{com}. drop if `cellmpname' < -1 | `cellmpname' > 1
{txt}(18 observations deleted)

{com}. addplot lines: (scatter `cellvalname' `cellmpname', msymbol(circle) mcolor(gs8))             ///
> (line `cellsmname' `evalname' if `evalname' > `breakpoint', lpattern(solid) lcolor(black) lwidth(medthick))   ///
> (line `hi' `evalname' if `evalname' > `breakpoint', lcolor(black) lwidth(vthin) lpattern(dash))              ///
> (line `lo' `evalname' if `evalname' > `breakpoint', lcolor(black) lwidth(vthin) lpattern(dash))  ///
> (line `cellsmname' `evalname' if `evalname' < `breakpoint', lpattern(solid) lcolor(black) lwidth(medthick))  ///  
> (line `hi' `evalname' if `evalname' < `breakpoint', lcolor(black) lwidth(vthin) lpattern(dash))              ///
> (line `lo' `evalname' if `evalname' < `breakpoint', lcolor(black) lwidth(vthin) lpattern(dash)),           ///
> xline(`breakpoint', lcolor(black)) legend(off) ylabel(#4,format(%9.2f)) ytitle(Density) xtitle(Running variable) plotregion(lcolor(black)) ///
> xlabel(-1(0.5)1, format(%9.2f))
{res}{txt}
{com}. drop Xj Yj r0 fhat se_fhat
{txt}
{com}. graph save "$dir/temp/denmark_density.gph", replace
{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/denmark_density.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/denmark_density.gph} saved

{com}. restore
{txt}
{com}. 
. preserve
{txt}
{com}. DCdensity rv if country=="Finland" & rv!=0 & abs(rv)<=1, generate(Xj Yj r0 fhat se_fhat) breakpoint(0)
{res}Using default bin size calculation, bin size = .006544901
Using default bandwidth calculation, bandwidth = .182945198

Discontinuity estimate (log difference in height): .095780523
                                                   (.122197315)
Performing LLR smoothing.
307 iterations will be performed 
..............................
{txt}
{com}. local breakpoint 0
{txt}
{com}. local cellmpname Xj
{txt}
{com}. local cellvalname Yj
{txt}
{com}. local evalname r0
{txt}
{com}. local cellsmname fhat
{txt}
{com}. local cellsmsename se_fhat
{txt}
{com}. tempvar hi
{txt}
{com}. quietly gen `hi' = `cellsmname' + 1.96*`cellsmsename'
{txt}
{com}. tempvar lo
{txt}
{com}. quietly gen `lo' = `cellsmname' - 1.96*`cellsmsename'
{txt}
{com}. drop if `evalname' < -1 | `evalname' > 1
{txt}(914,512 observations deleted)

{com}. gr twoway  (line `cellsmname' `evalname' if `evalname' < `breakpoint', subtitle("Panel D: Finland", position(11)) lcolor(black) lwidth(medthick)) ///  
> (line `hi' `evalname' if `evalname' < `breakpoint', lcolor(black) lwidth(vthin) lpattern(dash))              ///
> (line `lo' `evalname' if `evalname' < `breakpoint', lcolor(black) lwidth(vthin) lpattern(dash)),          ///
> name(lines, replace) legend(off) graphregion(color(white))
{res}{txt}
{com}. drop if `cellmpname' < -1 | `cellmpname' > 1
{txt}(28 observations deleted)

{com}. addplot lines: (scatter `cellvalname' `cellmpname', msymbol(circle) mcolor(gs8))             ///
> (line `cellsmname' `evalname' if `evalname' > `breakpoint', lpattern(solid) lcolor(black) lwidth(medthick))   ///
> (line `hi' `evalname' if `evalname' > `breakpoint', lcolor(black) lwidth(vthin) lpattern(dash))              ///
> (line `lo' `evalname' if `evalname' > `breakpoint', lcolor(black) lwidth(vthin) lpattern(dash))  ///
> (line `cellsmname' `evalname' if `evalname' < `breakpoint', lpattern(solid) lcolor(black) lwidth(medthick))  ///  
> (line `hi' `evalname' if `evalname' < `breakpoint', lcolor(black) lwidth(vthin) lpattern(dash))              ///
> (line `lo' `evalname' if `evalname' < `breakpoint', lcolor(black) lwidth(vthin) lpattern(dash)),           ///
> xline(`breakpoint', lcolor(black)) legend(off) ylabel(#4,format(%9.2f)) ytitle(Density) xtitle(Running variable) plotregion(lcolor(black)) ///
> xlabel(-1(0.5)1, format(%9.2f))
{res}{txt}
{com}. drop Xj Yj r0 fhat se_fhat
{txt}
{com}. graph save "$dir/temp/finland_density.gph", replace
{txt}{p 0 4 2}
(file {bf}
/Users/jaakko/Documents/PA_replication_package/temp/finland_density.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:/Users/jaakko/Documents/PA_replication_package/temp/finland_density.gph} saved

{com}. restore
{txt}
{com}. 
. graph combine "$dir/temp/brazil_density.gph" "$dir/temp/colombia_density.gph" ///
>         "$dir/temp/denmark_density.gph" "$dir/temp/finland_density.gph", ///
>         cols(2) graphregion(color(white)) xsize(16) ysize(9)
{res}{txt}
{com}. graph export "$dir/figures/figure_OA7.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
/Users/jaakko/Documents/PA_replication_package/figures/figure_OA7.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
{txt}end of do-file

{com}. 
. do "$dir/code/Table_OA15.do" // Table OA15 -- NB. This file only produces the numbers; the table is then generated manually.
{txt}
{com}. clear all
{res}{txt}
{com}. 
. ********************************************************************************
. ********************************************************************************
. **** When Can We Trust Regression Discontinuity Design Estimates from Close ****
. *************** Elections? Evidence from Experimental Benchmarks ***************
. ********************************************************************************
. ********************************************************************************
. 
. * This file produces the numbers in Table OA15 in Online Appendix D of De Magalhaes
. * et al. (Political Analysis).
. 
. cd "$dir"
{res}/Users/jaakko/Documents/PA_replication_package
{txt}
{com}. use "$dir/data/personal_incumbency_advantage.dta", clear
{txt}(Written by R.              )

{com}. 
. ********************************************************************************
. 
. levelsof country, local(election)
{res}{txt}`"Brazil"' `"Colombia"' `"Denmark"' `"Finland"'

{com}. foreach x of local election {c -(}
{txt}  2{com}.         rddensity rv if country=="`x'" & rv!=. & rv!=0, all c(0) bwselect(sum) h(1)
{txt}  3{com}. {c )-}
{res}
Point estimates and standard errors have been adjusted for repeated observations.
(Use option {it:nomasspoints} to suppress this adjustment.)

RD Manipulation test using local polynomial density estimation.

{txt}{ralign 9: c = }{res}    0.000{col 19} {c |}{col 22}{txt}Left of c{col 33}Right of c{col 53}Number of obs = {res}      596308
{txt}{hline 19}{c +}{hline 22}{col 53}Model         = {res}{ralign 12:unrestricted}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   485014{col 34}   111294{col 53}{txt}BW method     = {res}{ralign 12:manual}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20166{col 34}    18253{col 53}{txt}Kernel        = {res}{ralign 12:triangular}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2{col 53}{txt}VCE method    = {res}{ralign 12:jackknife}
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000

Running variable: rv.
{txt}{hline 19}{c TT}{hline 22}
{ralign 18:Method}{col 19} {c |} {col 23}    T{col 38}P>|T|
{hline 19}{c +}{hline 22}
{ralign 18:Conventional}{col 19} {c |} {col 21}{res}   0.8188{col 34}   0.4129
{txt}{ralign 18:Robust}{col 19} {c |} {col 21}{res}   0.2527{col 34}   0.8005
{txt}{hline 19}{c BT}{hline 22}

{res}P-values of binomial tests.{txt} (H0: prob = .5)
{hline 19}{c TT}{hline 22}{c TT}{hline 10}
{ralign 18: Window Length / 2}{col 20}{c |}{ralign 9: <c}{col 33}{ralign 9: >=c}{col 43}{c |}{col 49}P>|T|
{hline 19}{c +}{hline 22}{c +}{hline 10}
{res}{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{txt}{hline 19}{c BT}{hline 22}{c BT}{hline 10}
{res}
Point estimates and standard errors have been adjusted for repeated observations.
(Use option {it:nomasspoints} to suppress this adjustment.)

RD Manipulation test using local polynomial density estimation.

{txt}{ralign 9: c = }{res}    0.000{col 19} {c |}{col 22}{txt}Left of c{col 33}Right of c{col 53}Number of obs = {res}      148040
{txt}{hline 19}{c +}{hline 22}{col 53}Model         = {res}{ralign 12:unrestricted}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   114023{col 34}    34017{col 53}{txt}BW method     = {res}{ralign 12:manual}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     5572{col 34}     5013{col 53}{txt}Kernel        = {res}{ralign 12:triangular}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2{col 53}{txt}VCE method    = {res}{ralign 12:jackknife}
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000

Running variable: rv.
{txt}{hline 19}{c TT}{hline 22}
{ralign 18:Method}{col 19} {c |} {col 23}    T{col 38}P>|T|
{hline 19}{c +}{hline 22}
{ralign 18:Conventional}{col 19} {c |} {col 21}{res}  -0.1797{col 34}   0.8574
{txt}{ralign 18:Robust}{col 19} {c |} {col 21}{res}   0.0220{col 34}   0.9824
{txt}{hline 19}{c BT}{hline 22}

{res}P-values of binomial tests.{txt} (H0: prob = .5)
{hline 19}{c TT}{hline 22}{c TT}{hline 10}
{ralign 18: Window Length / 2}{col 20}{c |}{ralign 9: <c}{col 33}{ralign 9: >=c}{col 43}{c |}{col 49}P>|T|
{hline 19}{c +}{hline 22}{c +}{hline 10}
{res}{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{txt}{hline 19}{c BT}{hline 22}{c BT}{hline 10}
{res}
Point estimates and standard errors have been adjusted for repeated observations.
(Use option {it:nomasspoints} to suppress this adjustment.)

RD Manipulation test using local polynomial density estimation.

{txt}{ralign 9: c = }{res}    0.000{col 19} {c |}{col 22}{txt}Left of c{col 33}Right of c{col 53}Number of obs = {res}       12633
{txt}{hline 19}{c +}{hline 22}{col 53}Model         = {res}{ralign 12:unrestricted}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     8977{col 34}     3656{col 53}{txt}BW method     = {res}{ralign 12:manual}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1937{col 34}     1078{col 53}{txt}Kernel        = {res}{ralign 12:triangular}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2{col 53}{txt}VCE method    = {res}{ralign 12:jackknife}
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000

Running variable: rv.
{txt}{hline 19}{c TT}{hline 22}
{ralign 18:Method}{col 19} {c |} {col 23}    T{col 38}P>|T|
{hline 19}{c +}{hline 22}
{ralign 18:Conventional}{col 19} {c |} {col 21}{res}  -0.9558{col 34}   0.3392
{txt}{ralign 18:Robust}{col 19} {c |} {col 21}{res}  -0.3167{col 34}   0.7515
{txt}{hline 19}{c BT}{hline 22}

{res}P-values of binomial tests.{txt} (H0: prob = .5)
{hline 19}{c TT}{hline 22}{c TT}{hline 10}
{ralign 18: Window Length / 2}{col 20}{c |}{ralign 9: <c}{col 33}{ralign 9: >=c}{col 43}{c |}{col 49}P>|T|
{hline 19}{c +}{hline 22}{c +}{hline 10}
{res}{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{txt}{hline 19}{c BT}{hline 22}{c BT}{hline 10}
{res}
Point estimates and standard errors have been adjusted for repeated observations.
(Use option {it:nomasspoints} to suppress this adjustment.)

RD Manipulation test using local polynomial density estimation.

{txt}{ralign 9: c = }{res}    0.000{col 19} {c |}{col 22}{txt}Left of c{col 33}Right of c{col 53}Number of obs = {res}      154799
{txt}{hline 19}{c +}{hline 22}{col 53}Model         = {res}{ralign 12:unrestricted}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}   108756{col 34}    46043{col 53}{txt}BW method     = {res}{ralign 12:manual}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}    20129{col 34}    12170{col 53}{txt}Kernel        = {res}{ralign 12:triangular}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        2{col 34}        2{col 53}{txt}VCE method    = {res}{ralign 12:jackknife}
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        3{col 34}        3
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.000{col 34}    1.000

Running variable: rv.
{txt}{hline 19}{c TT}{hline 22}
{ralign 18:Method}{col 19} {c |} {col 23}    T{col 38}P>|T|
{hline 19}{c +}{hline 22}
{ralign 18:Conventional}{col 19} {c |} {col 21}{res}   3.2169{col 34}   0.0013
{txt}{ralign 18:Robust}{col 19} {c |} {col 21}{res}   0.2263{col 34}   0.8210
{txt}{hline 19}{c BT}{hline 22}

{res}P-values of binomial tests.{txt} (H0: prob = .5)
{hline 19}{c TT}{hline 22}{c TT}{hline 10}
{ralign 18: Window Length / 2}{col 20}{c |}{ralign 9: <c}{col 33}{ralign 9: >=c}{col 43}{c |}{col 49}P>|T|
{hline 19}{c +}{hline 22}{c +}{hline 10}
{res}{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}     3038{col 43}{c |}{col 45}   0.0000
{txt}{hline 19}{c BT}{hline 22}{c BT}{hline 10}
{res}{txt}
{com}. 
{txt}end of do-file

{com}. 
. ********************************************************************************
. 
. * Remove the files in the temp folder
. 
. // NB. This only works on Mac -- for a solution for Windows, see below.
. 
. cd $dir/temp
{res}/Users/jaakko/Documents/PA_replication_package/temp
{txt}
{com}. 
. shell rm *.dta
{txt}

{com}. shell rm *.gph
{txt}

{com}. 
. /*
> To remove the files on Windows, you can run the following lines of code:
> 
> cd $dir/temp
> 
> !del *.dta
> !del *.gph
> */
. 
. ********************************************************************************
. 
. * Close the log
. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/jaakko/Documents/PA_replication_package/log_De_Magalhaes_et_al.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}29 Aug 2024, 11:17:08
{txt}{.-}
{smcl}
{txt}{sf}{ul off}